{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T16:43:07Z","timestamp":1783701787568,"version":"3.55.0"},"reference-count":148,"publisher":"Association for Computing Machinery (ACM)","issue":"14s","license":[{"start":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T00:00:00Z","timestamp":1689552000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Mitacs-Ericsson Global Artificial Intelligence Accelerator (GAIA) partnership"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Comput. Surv."],"published-print":{"date-parts":[[2023,12,31]]},"abstract":"<jats:p>Provenance information corresponds to essential metadata that describes the entities, users, and processes involved in the history and evolution of a data object. The benefits of tracking provenance information have been widely understood in a variety of domains; however, only recently have provenance solutions gained interest in the security community. Indeed, on the one hand, provenance allows for a reliable historical analysis enabling security-related applications such as forensic analysis and attribution of malicious activity. On the other hand, the unprecedented changes in the threat landscape place demands for securing provenance information to facilitate its trustworthiness.<\/jats:p><jats:p>With the recent growth of provenance studies in security, in this work we examine the role of data provenance in security and privacy. To set this work in context, we outline fundamental principles and models of data provenance and explore how the existing studies achieve security principles. We further review the existing schemes for securing data provenance collection and manipulation known as secure provenance and the role of data provenance for security and privacy, which we refer to as threat provenance.<\/jats:p>","DOI":"10.1145\/3593294","type":"journal-article","created":{"date-parts":[[2023,4,22]],"date-time":"2023-04-22T11:02:02Z","timestamp":1682161322000},"page":"1-35","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":59,"title":["Data Provenance in Security and Privacy"],"prefix":"10.1145","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9840-0675","authenticated-orcid":false,"given":"Bofeng","family":"Pan","sequence":"first","affiliation":[{"name":"University of Saskatchewan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1923-319X","authenticated-orcid":false,"given":"Natalia","family":"Stakhanova","sequence":"additional","affiliation":[{"name":"University of Saskatchewan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0681-9685","authenticated-orcid":false,"given":"Suprio","family":"Ray","sequence":"additional","affiliation":[{"name":"University of New Brunswick"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,7,17]]},"reference":[{"key":"e_1_3_1_2_2","unstructured":"Wikipedia. 2022. Merkle Tree. Retrieved April 28 2023 from https:\/\/en.wikipedia.org\/wiki\/Merkle_tree."},{"issue":"2","key":"e_1_3_1_3_2","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1007\/s10207-012-0179-0","article-title":"A framework for establishing trust in Cloud provenance","volume":"12","author":"Abbadi Imad M.","year":"2013","unstructured":"Imad M. Abbadi. 2013. A framework for establishing trust in Cloud provenance. International Journal of Information Security 12, 2 (2013), 111\u2013128.","journal-title":"International Journal of Information Security"},{"issue":"6","key":"e_1_3_1_4_2","doi-asserted-by":"crossref","first-page":"1914","DOI":"10.1109\/TSC.2019.2900641","article-title":"ProFact: A provenance-based analytics framework for access control policies","volume":"14","author":"Jabal Amani Abu","year":"2021","unstructured":"Amani Abu Jabal, Maryam Davari, Elisa Bertino, Christian Makaya, Seraphin Calo, Dinesh Verma, and Christopher Williams. 2021. ProFact: A provenance-based analytics framework for access control policies. IEEE Transactions on Services Computing 14, 6 (2021), 1914\u20131928.","journal-title":"IEEE Transactions on Services Computing"},{"key":"e_1_3_1_5_2","unstructured":"Umut Acar Peter Buneman James Cheney Jan Van Den Bussche Natalia Kwasnikowska and Stijn Vansummeren. 2010. A graph model of data and workflow provenance. In Proceedings of the 2nd Conference on Theory and Practice of Provenance (TAPP\u201910) . 1\u20138."},{"key":"e_1_3_1_6_2","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.cose.2018.12.008","article-title":"Order preserving secure provenance scheme for distributed networks","volume":"82","author":"Ahmed Idrees","year":"2019","unstructured":"Idrees Ahmed, Abid Khan, Mansoor Ahmed, and Saif ur Rehman. 2019. Order preserving secure provenance scheme for distributed networks. Computers & Security 82 (2019), 99\u2013117.","journal-title":"Computers & Security"},{"issue":"2","key":"e_1_3_1_7_2","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1007\/s10766-018-0601-y","article-title":"A secure provenance scheme for detecting consecutive colluding users in distributed networks","volume":"48","author":"Ahmed Idrees","year":"2020","unstructured":"Idrees Ahmed, Abid Khan, Adeel Anjum, Mansoor Ahmed, and Muhammad Asif Habib. 2020. A secure provenance scheme for detecting consecutive colluding users in distributed networks. International Journal of Parallel Programming 48, 2 (2020), 344\u2013366.","journal-title":"International Journal of Parallel Programming"},{"key":"e_1_3_1_8_2","doi-asserted-by":"crossref","first-page":"2012","DOI":"10.1109\/TrustCom.2016.0307","volume-title":"Proceedings of the 2016 IEEE Trustcom\/BigDataSE\/ISPA Conference","author":"Ahmed Idrees","year":"2016","unstructured":"Idrees Ahmed, Abid Khan, Muhammad Saleem Khan, and Mansoor Ahmed. 2016. Aggregated signatures for chaining: A secure provenance scheme. In Proceedings of the 2016 IEEE Trustcom\/BigDataSE\/ISPA Conference. 2012\u20132017."},{"key":"e_1_3_1_9_2","first-page":"1","volume-title":"Proceedings of the 2019 IEEE International Symposium on Technologies for Homeland Security (HST\u201919)","author":"Farooq Abdullah Al","year":"2019","unstructured":"Abdullah Al Farooq, Jessica Marquard, Kripa George, and Thomas Moyer. 2019. Detecting safety and security faults in PLC systems with data provenance. In Proceedings of the 2019 IEEE International Symposium on Technologies for Homeland Security (HST\u201919). 1\u20136."},{"key":"e_1_3_1_10_2","first-page":"500","volume-title":"Proceedings of the 2012 32nd International Conference on Distributed Computing Systems Workshops (ICDCSW\u201912)","author":"Alharbi Khalid","year":"2012","unstructured":"Khalid Alharbi and Xiaodong Lin. 2012. PDP: A privacy-preserving data provenance scheme. In Proceedings of the 2012 32nd International Conference on Distributed Computing Systems Workshops (ICDCSW\u201912). IEEE, Los Alamitos, CA, 500\u2013505."},{"issue":"12","key":"e_1_3_1_11_2","doi-asserted-by":"crossref","first-page":"2193","DOI":"10.1109\/TIFS.2014.2357998","article-title":"Securing first-hop data provenance for bodyworn devices using wireless link fingerprints","volume":"9","author":"Ali Syed Taha","year":"2014","unstructured":"Syed Taha Ali, Vijay Sivaraman, Diethelm Ostry, Gene Tsudik, and Sanjay Jha. 2014. Securing first-hop data provenance for bodyworn devices using wireless link fingerprints. IEEE Transactions on Information Forensics and Security 9, 12 (2014), 2193\u20132204.","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"e_1_3_1_12_2","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1145\/3055245.3055255","volume-title":"Proceedings of the 3rd ACM International Workshop on IoT Privacy, Trust, and Security (IoTPTS\u201917)","author":"Aman Muhammad Naveed","year":"2017","unstructured":"Muhammad Naveed Aman, Kee Chaing Chua, and Biplab Sikdar. 2017. Secure data provenance for the Internet of Things. In Proceedings of the 3rd ACM International Workshop on IoT Privacy, Trust, and Security (IoTPTS\u201917). ACM, New York, NY, 11\u201314."},{"key":"e_1_3_1_13_2","doi-asserted-by":"crossref","first-page":"1684","DOI":"10.1145\/3477314.3507097","volume-title":"Proceedings of the 37th ACM\/SIGAPP Symposium on Applied Computing (SAC\u201922)","author":"Anjum Md. Monowar","year":"2022","unstructured":"Md. Monowar Anjum, Shahrear Iqbal, and Benoit Hamelin. 2022. ANUBIS: A provenance graph-based framework for advanced persistent threat detection. In Proceedings of the 37th ACM\/SIGAPP Symposium on Applied Computing (SAC\u201922). ACM, New York, NY, 1684\u20131693."},{"key":"e_1_3_1_14_2","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1145\/2664243.2664264","volume-title":"Proceedings of the 30th Annual Computer Security Applications Conference (ACSAC\u201914)","author":"Backes Michael","year":"2014","unstructured":"Michael Backes, Sven Bugiel, and Sebastian Gerling. 2014. Scippa: System-centric IPC provenance on Android. In Proceedings of the 30th Annual Computer Security Applications Conference (ACSAC\u201914). ACM, New York, NY, 36\u201345."},{"key":"e_1_3_1_15_2","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1109\/SKG.2017.00022","volume-title":"Proceedings of the 2017 13th International Conference on Semantics, Knowledge, and Grids (SKG\u201917)","author":"Baeth Mohamed Jehad","year":"2017","unstructured":"Mohamed Jehad Baeth and Mehmet S. Aktas. 2017. Detecting misinformation in social networks using provenance data. In Proceedings of the 2017 13th International Conference on Semantics, Knowledge, and Grids (SKG\u201917). 85\u201389."},{"issue":"21","key":"e_1_3_1_16_2","doi-asserted-by":"crossref","first-page":"e4690","DOI":"10.1002\/cpe.4690","article-title":"An approach to custom privacy policy violation detection problems using big social provenance data","volume":"30","author":"Baeth Mohamed Jehad","year":"2018","unstructured":"Mohamed Jehad Baeth and Mehmet S. Aktas. 2018. An approach to custom privacy policy violation detection problems using big social provenance data. Concurrency and Computation: Practice and Experience 30, 21 (2018), e4690.","journal-title":"Concurrency and Computation: Practice and Experience"},{"key":"e_1_3_1_17_2","first-page":"57","volume-title":"Proceedings of the 2018 IEEE International Congress on Internet of Things (ICIOT\u201918)","author":"Baracaldo Nathalie","year":"2018","unstructured":"Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Amir Safavi, and Rui Zhang. 2018. Detecting poisoning attacks on machine learning in IoT environments. In Proceedings of the 2018 IEEE International Congress on Internet of Things (ICIOT\u201918). 57\u201364."},{"key":"e_1_3_1_18_2","first-page":"103","volume-title":"Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach","author":"Baracaldo Nathalie","year":"2017","unstructured":"Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, and Jaehoon Amir Safavi. 2017. Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach. ACM, New York, NY, 103\u2013110."},{"key":"e_1_3_1_19_2","first-page":"277","volume-title":"Proceedings of the 3rd ACM Conference on Data and Application Security and Privacy (CODASPY\u201913)","author":"Bates Adam","year":"2013","unstructured":"Adam Bates, Ben Mood, Masoud Valafar, and Kevin Butler. 2013. Towards secure provenance-based access control in cloud environments. In Proceedings of the 3rd ACM Conference on Data and Application Security and Privacy (CODASPY\u201913). ACM, New York, NY, 277\u2013284."},{"key":"e_1_3_1_20_2","first-page":"319","volume-title":"Proceedings of the 24th USENIX Security Symposium (USENIX Security\u201915)","author":"Bates Adam","year":"2015","unstructured":"Adam Bates, Dave (Jing) Tian, Kevin R. B. Butler, and Thomas Moyer. 2015. Trustworthy whole-system provenance for the Linux kernel. In Proceedings of the 24th USENIX Security Symposium (USENIX Security\u201915). 319\u2013334."},{"issue":"4","key":"e_1_3_1_21_2","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1137\/0909049","article-title":"Auditing of data analyses","volume":"9","author":"Becker Richard A.","year":"1988","unstructured":"Richard A. Becker and John M. Chambers. 1988. Auditing of data analyses. SIAM Journal on Scientific Computing 9, 4 (1988), 747\u2013760.","journal-title":"SIAM Journal on Scientific Computing"},{"key":"e_1_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2015.01.003"},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-014-0322-7"},{"key":"e_1_3_1_24_2","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1109\/SERVICES.2017.24","volume-title":"Proceedings of the 2017 IEEE World Congress on Services (SERVICES\u201917)","author":"Bertino Elisa","year":"2017","unstructured":"Elisa Bertino, Amani Abu Jabal, Seraphin Calo, Christian Makaya, Maroun Touma, Dinesh Verma, and Christopher Williams. 2017. Provenance-based analytics services for access control policies. In Proceedings of the 2017 IEEE World Congress on Services (SERVICES\u201917). 94\u2013101."},{"key":"e_1_3_1_25_2","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1145\/1900546.1900567","volume-title":"Proceedings of the 2010 Workshop on New Security Paradigms","author":"Bishop Matt","year":"2010","unstructured":"Matt Bishop, Justin Cummins, Sean Peisert, Anhad Singh, Bhume Bhumiratana, Deborah A. Agarwal, Deborah A. Frincke, and Michael A. Hogarth. 2010. Relationships and data sanitization: A study in scarlet. In Proceedings of the 2010 Workshop on New Security Paradigms. ACM, New York, NY, 151\u2013164."},{"issue":"1","key":"e_1_3_1_26_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1057977.1057978","article-title":"Lineage retrieval for scientific data processing: A survey","volume":"37","author":"Bose Rajendra","year":"2005","unstructured":"Rajendra Bose and James Frew. 2005. Lineage retrieval for scientific data processing: A survey. ACM Computing Surveys 37, 1 (March 2005), 1\u201328.","journal-title":"ACM Computing Surveys"},{"key":"e_1_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Shawn Bowers. 2012. Scientific workflow provenance and data modeling challenges and approaches. Journal on Data Semantics 1 (2012) 19\u201330.","DOI":"10.1007\/s13740-012-0004-y"},{"key":"e_1_3_1_28_2","volume-title":"Proceedings of the 3rd USENIX Workshop on Hot Topics in Security (HotSec\u201908)","author":"Braun Uri Jacob","year":"2008","unstructured":"Uri Jacob Braun, Avraham Shinnar, and Margo I. Seltzer. 2008. Securing provenance. In Proceedings of the 3rd USENIX Workshop on Hot Topics in Security (HotSec\u201908)."},{"key":"e_1_3_1_29_2","first-page":"316","volume-title":"Proceedings of the International Conference on Database Theory (ICDT\u201901)","author":"Buneman Peter","year":"2001","unstructured":"Peter Buneman, Sanjeev Khanna, and Tan Wang-Chiew. 2001. Why and where: A characterization of data provenance. In Proceedings of the International Conference on Database Theory (ICDT\u201901). 316\u2013330."},{"key":"e_1_3_1_30_2","unstructured":"Vitalik Buterin. 2014. Ethereum: A Next-Generation Smart Contract and Decentralized Application Platform . Ethereum White Paper. Retrieved April 28 2023 from https:\/\/blockchainlab.com\/pdf\/Ethereum_white_paper-a_next_generation_smart_contract_and_decentralized_application_platform-vitalik-buterin.pdf."},{"key":"e_1_3_1_31_2","first-page":"431","volume-title":"Proceedings of the International Conference on Web Information Systems Engineering","author":"Butt Anila Sahar","year":"2020","unstructured":"Anila Sahar Butt and Peter Fitch. 2020. Provone+: A provenance model for scientific workflows. In Proceedings of the International Conference on Web Information Systems Engineering. 431\u2013444."},{"key":"e_1_3_1_32_2","doi-asserted-by":"crossref","first-page":"101877","DOI":"10.1016\/j.datak.2021.101877","article-title":"A provenance model for control-flow driven scientific workflows","volume":"131","author":"Butt Anila Sahar","year":"2021","unstructured":"Anila Sahar Butt and Peter Fitch. 2021. A provenance model for control-flow driven scientific workflows. Data & Knowledge Engineering 131-132 (2021), 101877.","journal-title":"Data & Knowledge Engineering"},{"key":"e_1_3_1_33_2","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1109\/WF-IoT.2018.8355229","volume-title":"Proceedings of the 2018 IEEE 4th World Forum on Internet of Things (WF-IoT\u201918)","author":"Sanchez Jose Luis Canovas","year":"2018","unstructured":"Jose Luis Canovas Sanchez, Jorge Bernal Bernabe, and Antonio F. Skarmeta. 2018. Towards privacy preserving data provenance for the Internet of Things. In Proceedings of the 2018 IEEE 4th World Forum on Internet of Things (WF-IoT\u201918). 41\u201346."},{"key":"e_1_3_1_34_2","unstructured":"Yang Cao Christopher Jones V. Cuevas-Vicentt\u00edn Matthew B. Jones Bertram Lud\u00e4scher Timothy McPhillips Paolo Missier et\u00a0al. 2016. ProvONE: Extending PROV to Support the DataONE Scientific Community. Retrieved April 28 2023 from http:\/\/homepages.cs.ncl.ac.uk\/paolo.missier\/doc\/dataone-prov-3-years-later.pdf."},{"issue":"4","key":"e_1_3_1_35_2","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1561\/1900000006","article-title":"Provenance in databases: Why, how, and where","volume":"1","author":"Cheney James","year":"2009","unstructured":"James Cheney, Laura Chiticariu, and Wang-Chiew Tan. 2009. Provenance in databases: Why, how, and where. Foundations and Trends in Databases 1, 4 (April2009), 379\u2013474.","journal-title":"Foundations and Trends in Databases"},{"key":"e_1_3_1_36_2","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1007\/978-3-030-59638-5_6","volume-title":"Blockchain\u2014ICBC 2020","author":"Chenli Changhao","year":"2020","unstructured":"Changhao Chenli and Taeho Jung. 2020. ProvNet: Networked blockchain for decentralized secure provenance. In Blockchain\u2014ICBC 2020, Zhixiong Chen, Laizhong Cui, Balaji Palanisamy, and Liang-Jie Zhang (Eds.). Springer International Publishing, Cham, Switzerland, 76\u201393."},{"issue":"1","key":"e_1_3_1_37_2","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1109\/TDSC.2016.2530705","article-title":"PROVEST: Provenance-based trust model for delay tolerant networks","volume":"15","author":"Cho Jin-Hee","year":"2018","unstructured":"Jin-Hee Cho and Ing-Ray Chen. 2018. PROVEST: Provenance-based trust model for delay tolerant networks. IEEE Transactions on Dependable and Secure Computing 15, 1 (2018), 151\u2013165.","journal-title":"IEEE Transactions on Dependable and Secure Computing"},{"key":"e_1_3_1_38_2","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1145\/2457317.2457365","volume-title":"Proceedings of the Joint EDBT\/ICDT 2013 Workshops (EDBT\u201913)","author":"Costa Flavio","year":"2013","unstructured":"Flavio Costa, V\u00edtor Silva, Daniel de Oliveira, Kary Oca\u00f1a, Eduardo Ogasawara, Jonas Dias, and Marta Mattoso. 2013. Capturing and querying workflow runtime provenance with PROV: A practical approach. In Proceedings of the Joint EDBT\/ICDT 2013 Workshops (EDBT\u201913). ACM, New York, NY, 282\u2013289. 10.1145\/2457317.2457365"},{"key":"e_1_3_1_39_2","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1109\/SC.Companion.2012.27","volume-title":"Proceedings of the 2012 SC Companion: High Performance Computing, Networking Storage and Analysis","author":"Cuevas-Vicentt\u00edn V\u00edctor","year":"2012","unstructured":"V\u00edctor Cuevas-Vicentt\u00edn, Saumen Dey, Michael Li Yuan Wang, Tianhong Song, and Bertram Lud\u00e4scher. 2012. Modeling and querying scientific workflow provenance in the D-OPM. In Proceedings of the 2012 SC Companion: High Performance Computing, Networking Storage and Analysis. 119\u2013128."},{"key":"e_1_3_1_40_2","doi-asserted-by":"crossref","unstructured":"Yingwei Cui Jennifer Widom and Janet L. Wiener. 2000. Tracing the lineage of view data in a warehousing environment. ACM Transactions on Database Systems 25 2 (June 2000) 179\u2013227.","DOI":"10.1145\/357775.357777"},{"key":"e_1_3_1_41_2","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/978-3-642-25731-5_4","volume-title":"Databases in Networked Information Systems","author":"Davidson Susan","year":"2011","unstructured":"Susan Davidson, Zhuowei Bao, and Sudeepa Roy. 2011. Hiding data and structure in workflow provenance. In Databases in Networked Information Systems, Shinji Kikuchi, Aastha Madaan, Shelly Sachdeva, and Subhash Bhalla (Eds.). Springer, Berlin, Germany, 41\u201348."},{"key":"e_1_3_1_42_2","unstructured":"Susan B. Davidson Sanjeev Khanna Debmalya Panigrahi and Sudeepa Roy. 2010. Preserving Module Privacy in Workflow Provenance . Technical Report. Department of Computer & Information Science University of Pennsylvania."},{"key":"e_1_3_1_43_2","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1145\/1938551.1938554","volume-title":"Proceedings of the 14th International Conference on Database Theory (ICDT\u201911)","author":"Davidson Susan B.","year":"2011","unstructured":"Susan B. Davidson, Sanjeev Khanna, Sudeepa Roy, Julia Stoyanovich, Val Tannen, and Yi Chen. 2011. On provenance and privacy. In Proceedings of the 14th International Conference on Database Theory (ICDT\u201911). ACM, New York, NY, 3\u201310."},{"key":"e_1_3_1_44_2","first-page":"225","volume-title":"Scientific and Statistical Database Management","author":"Dey Saumen C.","year":"2011","unstructured":"Saumen C. Dey, Daniel Zinn, and Bertram Lud\u00e4scher. 2011. ProPub: Towards a declarative approach for publishing customized, policy-aware provenance. In Scientific and Statistical Database Management, Judith Bayard Cushing, James French, and Shawn Bowers (Eds.). Springer, Berlin, Germany, 225\u2013243."},{"key":"e_1_3_1_45_2","first-page":"23","volume-title":"Proceedings of the 20th USENIX Conference on Security (SEC\u201911)","author":"Dietz Michael","year":"2011","unstructured":"Michael Dietz, Shashi Shekhar, Yuliy Pisetsky, Anhei Shu, and Dan S. Wallach. 2011. Quire: Lightweight provenance for smart phone operating systems. In Proceedings of the 20th USENIX Conference on Security (SEC\u201911). 23."},{"key":"e_1_3_1_46_2","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1145\/3458305.3459599","volume-title":"Proceedings of the 12th ACM Multimedia Systems Conference (MMSys\u201921)","author":"England Paul","year":"2021","unstructured":"Paul England, Henrique S. Malvar, Eric Horvitz, Jack W. Stokes, C\u00e9dric Fournet, Rebecca Burke-Aguero, Amaury Chamayou, et\u00a0al. 2021. AMP: Authentication of media via provenance. In Proceedings of the 12th ACM Multimedia Systems Conference (MMSys\u201921). ACM, New York, NY, 108\u2013121."},{"key":"e_1_3_1_47_2","unstructured":"ESET. 2014. An In-Depth Analysis of Linux\/Ebury. Retrieved April 28 2023 from https:\/\/www.welivesecurity.com\/2014\/02\/21\/an-in-depth-analysis-of-linuxebury\/."},{"key":"e_1_3_1_48_2","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1016\/j.cose.2019.03.021","article-title":"A-PANDDE: Advanced Provenance-based ANomaly Detection of Data Exfiltration","volume":"84","author":"Fadolalkarim Daren","year":"2019","unstructured":"Daren Fadolalkarim and Elisa Bertino. 2019. A-PANDDE: Advanced Provenance-based ANomaly Detection of Data Exfiltration. Computers & Security 84 (2019), 276\u2013287.","journal-title":"Computers & Security"},{"key":"e_1_3_1_49_2","first-page":"267","volume-title":"Proceedings of the 6th ACM Conference on Data and Application Security and Privacy (CODASPY\u201916)","author":"Fadolalkarim Daren","year":"2016","unstructured":"Daren Fadolalkarim, Asmaa Sallam, and Elisa Bertino. 2016. PANDDE: Provenance-based ANomaly Detection of Data Exfiltration. In Proceedings of the 6th ACM Conference on Data and Application Security and Privacy (CODASPY\u201916). ACM, New York, NY, 267\u2013276."},{"issue":"3","key":"e_1_3_1_50_2","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1109\/MCSE.2008.79","article-title":"Provenance for computational tasks: A survey","volume":"10","author":"Freire Juliana","year":"2008","unstructured":"Juliana Freire, David Koop, Emanuele Santos, and Cl\u00e1udio T. Silva. 2008. Provenance for computational tasks: A survey. Computing in Science Engineering 10, 3 (2008), 11\u201321.","journal-title":"Computing in Science Engineering"},{"key":"e_1_3_1_51_2","doi-asserted-by":"crossref","first-page":"38742","DOI":"10.1109\/ACCESS.2020.2975820","article-title":"A big data provenance model for data security supervision based on PROV-DM model","volume":"8","author":"Gao Yuanzhao","year":"2020","unstructured":"Yuanzhao Gao, Xingyuan Chen, and Xuehui Du. 2020. A big data provenance model for data security supervision based on PROV-DM model. IEEE Access 8 (2020), 38742\u201338752.","journal-title":"IEEE Access"},{"key":"e_1_3_1_52_2","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1109\/ICDE.2007.368958","volume-title":"Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering","author":"Garofalakis Minos","year":"2007","unstructured":"Minos Garofalakis, Joseph M. Hellerstein, and Petros Maniatis. 2007. Proof sketches: Verifiable in-network aggregation. In Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering. 996\u20131005."},{"key":"e_1_3_1_53_2","first-page":"101","volume-title":"Proceedings of the 13th International Middleware Conference (Middleware\u201912)","author":"Gehani Ashish","year":"2012","unstructured":"Ashish Gehani and Dawood Tariq. 2012. SPADE: Support for provenance auditing in distributed environments. In Proceedings of the 13th International Middleware Conference (Middleware\u201912). 101\u2013120."},{"key":"e_1_3_1_54_2","first-page":"31","volume-title":"Proceedings of the ACM Symposium on Principles of Database Systems (PODS\u201907)","author":"Green Todd J.","year":"2007","unstructured":"Todd J. Green, Grigoris Karvounarakis, and Val Tannen. 2007. Provenance semirings. In Proceedings of the ACM Symposium on Principles of Database Systems (PODS\u201907). 31\u201340."},{"issue":"7","key":"e_1_3_1_55_2","first-page":"1","article-title":"Healthcare blockchain system using smart contracts for secure automated remote patient monitoring","volume":"42","author":"Griggs Kristen N.","year":"2018","unstructured":"Kristen N. Griggs, Olya Ossipova, Christopher P. Kohlios, Alessandro N. Baccarini, Emily A. Howson, and Thaier Hayajneh. 2018. Healthcare blockchain system using smart contracts for secure automated remote patient monitoring. Journal of Medical Systems 42, 7 (July 2018), 1\u20137.","journal-title":"Journal of Medical Systems"},{"key":"e_1_3_1_56_2","article-title":"Unicorn: Runtime provenance-based detector for advanced persistent threats","author":"Han Xueyuan","year":"2020","unstructured":"Xueyuan Han, Thomas Pasquier, Adam Bates, James Mickens, and Margo Seltzer. 2020. Unicorn: Runtime provenance-based detector for advanced persistent threats. In Proceedings of the 2020 Network and Distributed System Security Symposium.","journal-title":"Proceedings of the 2020 Network and Distributed System Security Symposium."},{"key":"e_1_3_1_57_2","article-title":"Where have you been? Secure location provenance for mobile devices","volume":"1107","author":"Hasan Ragib","year":"2011","unstructured":"Ragib Hasan and Randal C. Burns. 2011. Where have you been? Secure location provenance for mobile devices. CoRR abs\/1107.1821 (2011).","journal-title":"CoRR"},{"issue":"1","key":"e_1_3_1_58_2","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1109\/TETC.2015.2401394","article-title":"WORAL: A witness oriented secure location provenance framework for mobile devices","volume":"4","author":"Hasan Ragib","year":"2016","unstructured":"Ragib Hasan, Rasib Khan, Shams Zawoad, and Md. Munirul Haque. 2016. WORAL: A witness oriented secure location provenance framework for mobile devices. IEEE Transactions on Emerging Topics in Computing 4, 1 (2016), 128\u2013141.","journal-title":"IEEE Transactions on Emerging Topics in Computing"},{"key":"e_1_3_1_59_2","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1145\/1314313.1314318","volume-title":"Proceedings of the 2007 ACM Workshop on Storage Security and Survivability (StorageSS\u201907)","author":"Hasan Ragib","year":"2007","unstructured":"Ragib Hasan, Radu Sion, and Marianne Winslett. 2007. Introducing secure provenance: Problems and challenges. In Proceedings of the 2007 ACM Workshop on Storage Security and Survivability (StorageSS\u201907). ACM, New York, NY, 13\u201318."},{"key":"e_1_3_1_60_2","first-page":"43","article-title":"Preventing history forgery with secure provenance","volume":"5","author":"Hasan Ragib","year":"2009","unstructured":"Ragib Hasan, Radu Sion, and Marianne Winslett. 2009. Preventing history forgery with secure provenance. ACM Transactions on Storage 5, 4 (Dec. 2009), Article 12, 43 pages.","journal-title":"ACM Transactions on Storage"},{"key":"e_1_3_1_61_2","first-page":"1","volume-title":"Proceedings of the 7th Conference on File and Storage Technologies (FAST\u201909)","author":"Hasan Ragib","year":"2009","unstructured":"Ragib Hasan, Radu Sion, and Marianne Winslett. 2009. The case of the fake Picasso: Preventing history forgery with secure provenance. In Proceedings of the 7th Conference on File and Storage Technologies (FAST\u201909). 1\u201314."},{"issue":"6","key":"e_1_3_1_62_2","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1007\/s00778-017-0486-1","article-title":"A survey on provenance: What for? What form? What from?","volume":"26","author":"Herschel Melanie","year":"2017","unstructured":"Melanie Herschel, Ralf Diestelk\u00e4mper, and Houssem Ben Lahmar. 2017. A survey on provenance: What for? What form? What from? VLDB Journal 26, 6 (Dec. 2017), 881\u2013906.","journal-title":"VLDB Journal"},{"key":"e_1_3_1_63_2","doi-asserted-by":"crossref","first-page":"2213","DOI":"10.1145\/2882903.2912568","volume-title":"Proceedings of the 2016 International Conference on Management of Data (SIGMOD\u201916)","author":"Herschel Melanie","year":"2016","unstructured":"Melanie Herschel and Marcel Hlawatsch. 2016. Provenance: On and behind the screens. In Proceedings of the 2016 International Conference on Management of Data (SIGMOD\u201916). ACM, New York, NY, 2213\u20132217."},{"key":"e_1_3_1_64_2","first-page":"1","volume-title":"Proceedings of the 2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC\u201914)","author":"Hussain Syed Rafiul","year":"2014","unstructured":"Syed Rafiul Hussain, Changda Wang, Salmin Sultana, and Elisa Bertino. 2014. Secure data provenance compression using arithmetic coding in wireless sensor networks. In Proceedings of the 2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC\u201914). 1\u201310."},{"key":"e_1_3_1_65_2","first-page":"1","volume-title":"Proceedings of the 2011 IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks","author":"Alam S. M. Iftekharul","year":"2011","unstructured":"S. M. Iftekharul Alam and Sonia Fahmy. 2011. Energy-efficient provenance transmission in large-scale wireless sensor networks. In Proceedings of the 2011 IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks. 1\u20136."},{"key":"e_1_3_1_66_2","doi-asserted-by":"crossref","first-page":"4363","DOI":"10.1109\/TIFS.2021.3098977","article-title":"TRACE: Enterprise-wide provenance tracking for real-time apt detection","volume":"16","author":"Irshad Hassaan","year":"2021","unstructured":"Hassaan Irshad, Gabriela Ciocarlie, Ashish Gehani, Vinod Yegneswaran, Kyu Hyung Lee, Jignesh Patel, Somesh Jha, Yonghwi Kwon, Dongyan Xu, and Xiangyu Zhang. 2021. TRACE: Enterprise-wide provenance tracking for real-time apt detection. IEEE Transactions on Information Forensics and Security 16 (2021), 4363\u20134376.","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"e_1_3_1_67_2","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1109\/eScience.2016.7870908","volume-title":"Proceedings of the 2016 IEEE 12th International Conference on e-Science (e-Science\u201916)","author":"Jabal Amani Abu","year":"2016","unstructured":"Amani Abu Jabal and Elisa Bertino. 2016. SimP: Secure interoperable multi-granular provenance framework. In Proceedings of the 2016 IEEE 12th International Conference on e-Science (e-Science\u201916). 270\u2013275."},{"key":"e_1_3_1_68_2","first-page":"1360","volume-title":"Proceedings of the 2020 IEEE 19th International Conference on Trust, Security, and Privacy in Computing and Communications (TrustCom\u201920)","author":"Jaigirdar Fariha Tasmin","year":"2020","unstructured":"Fariha Tasmin Jaigirdar, Carsten Rudolph, and Chris Bain. 2020. Prov-IoT: A security-aware IoT provenance model. In Proceedings of the 2020 IEEE 19th International Conference on Trust, Security, and Privacy in Computing and Communications (TrustCom\u201920). 1360\u20131367. 10.1109\/TrustCom50675.2020.00183"},{"key":"e_1_3_1_69_2","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.cose.2017.10.005","article-title":"Secure provenance using an authenticated data structure approach","volume":"73","author":"Jamil Fuzel","year":"2018","unstructured":"Fuzel Jamil, Abid Khan, Adeel Anjum, Mansoor Ahmed, Farhana Jabeen, and Nadeem Javaid. 2018. Secure provenance using an authenticated data structure approach. Computers & Security 73 (2018), 34\u201356.","journal-title":"Computers & Security"},{"key":"e_1_3_1_70_2","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1145\/3282278.3282281","volume-title":"Proceedings of the 1st Workshop on Blockchain-Enabled Networked Sensor Systems (BlockSys\u201918)","author":"Javaid Uzair","year":"2018","unstructured":"Uzair Javaid, Muhammad Naveed Aman, and Biplab Sikdar. 2018. BlockPro: Blockchain based data provenance and integrity for secure IoT environments. In Proceedings of the 1st Workshop on Blockchain-Enabled Networked Sensor Systems (BlockSys\u201918). ACM, New York, NY, 13\u201318."},{"issue":"7","key":"e_1_3_1_71_2","doi-asserted-by":"crossref","first-page":"3997","DOI":"10.1109\/TITS.2020.3002462","article-title":"Blockchain-based lightweight and secured V2V communication in the Internet of Vehicles","volume":"22","author":"Kamal Mohsin","year":"2021","unstructured":"Mohsin Kamal, Gautam Srivastava, and Muhammad Tariq. 2021. Blockchain-based lightweight and secured V2V communication in the Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems 22, 7 (2021), 3997\u20134004.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"e_1_3_1_72_2","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1145\/2517968.2517976","volume-title":"Proceedings of the 2013 ACM Workshop on Security, Privacy, and Dependability for Cyber Vehicles (CyCAR\u201913)","author":"Kanuparthi Arun","year":"2013","unstructured":"Arun Kanuparthi, Ramesh Karri, and Sateesh Addepalli. 2013. Hardware and embedded security in the context of Internet of Things. In Proceedings of the 2013 ACM Workshop on Security, Privacy, and Dependability for Cyber Vehicles (CyCAR\u201913). ACM, New York, NY, 61\u201364."},{"key":"e_1_3_1_73_2","first-page":"87","volume-title":"Proceedings of the 9th ACM Symposium on Information, Computer, and Communications Security (ASIA CCS\u201914)","author":"Khan Rasib","year":"2014","unstructured":"Rasib Khan, Shams Zawoad, Md. Munirul Haque, and Ragib Hasan. 2014. OTIT: Towards secure provenance modeling for location proofs. In Proceedings of the 9th ACM Symposium on Information, Computer, and Communications Security (ASIA CCS\u201914). ACM, New York, NY, 87\u201398."},{"key":"e_1_3_1_74_2","first-page":"881","volume-title":"Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing","author":"Ko Ryan K. L.","year":"2014","unstructured":"Ryan K. L. Ko and Mark A. Will. 2014. Progger: An efficient, tamper-evident kernel-space logger for cloud data provenance tracking. In Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing. 881\u2013889."},{"key":"e_1_3_1_75_2","first-page":"44","article-title":"A formal account of the open provenance model","volume":"9","author":"Kwasnikowska Natalia","year":"2015","unstructured":"Natalia Kwasnikowska, Luc Moreau, and Jan Van Den Bussche. 2015. A formal account of the open provenance model. ACM Transactions on the Web 9, 2 (May 2015), Article 10, 44 pages.","journal-title":"ACM Transactions on the Web"},{"key":"e_1_3_1_76_2","first-page":"577","volume-title":"Proceedings of the 2015 IEEE\/ACM 8th International Conference on Utility and Cloud Computing (UCC\u201915)","author":"Lee Brian","year":"2015","unstructured":"Brian Lee, Abir Awad, and Mirna Awad. 2015. Towards secure provenance in the cloud: A survey. In Proceedings of the 2015 IEEE\/ACM 8th International Conference on Utility and Cloud Computing (UCC\u201915). 577\u2013582."},{"key":"e_1_3_1_77_2","volume-title":"Proceedings of the 20th Annual Network and Distributed System Security Symposium (NDSS\u201913)","author":"Lee Kyu Hyung","year":"2013","unstructured":"Kyu Hyung Lee, Xiangyu Zhang, and Dongyan Xu. 2013. High accuracy attack provenance via binary-based execution partition. In Proceedings of the 20th Annual Network and Distributed System Security Symposium (NDSS\u201913)."},{"key":"e_1_3_1_78_2","first-page":"275","volume-title":"Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications, and Worksharing","author":"Li Tao","year":"2014","unstructured":"Tao Li, Ling Liu, Xiaolong Zhang, Kai Xu, and Chao Yang. 2014. ProvenanceLens: Service provenance management in the cloud. In Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications, and Worksharing. 275\u2013284."},{"key":"e_1_3_1_79_2","first-page":"468","volume-title":"Proceedings of the 2017 17th IEEE\/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGRID\u201917)","author":"Liang Xueping","year":"2017","unstructured":"Xueping Liang, Sachin Shetty, Deepak Tosh, Charles Kamhoua, Kevin Kwiat, and Laurent Njilla. 2017. ProvChain: A blockchain-based data provenance architecture in cloud environment with enhanced privacy and availability. In Proceedings of the 2017 17th IEEE\/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGRID\u201917). 468\u2013477."},{"key":"e_1_3_1_80_2","first-page":"2","volume-title":"Proceedings of the 7th International Workshop on Data Management for Sensor Networks (DMSN\u201910)","author":"Lim Hyo-Sang","year":"2010","unstructured":"Hyo-Sang Lim, Yang-Sae Moon, and Elisa Bertino. 2010. Provenance-based trustworthiness assessment in sensor networks. In Proceedings of the 7th International Workshop on Data Management for Sensor Networks (DMSN\u201910). ACM, New York, NY, 2\u20137."},{"key":"e_1_3_1_81_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2961431"},{"key":"e_1_3_1_82_2","first-page":"282","volume-title":"Proceedings of the 5th ACM Symposium on Information, Computer, and Communications Security (ASIACCS\u201910)","author":"Lu Rongxing","year":"2010","unstructured":"Rongxing Lu, Xiaodong Lin, Xiaohui Liang, and Xuemin (Sherman) Shen. 2010. Secure provenance: The essential of bread and butter of data forensics in cloud computing. In Proceedings of the 5th ACM Symposium on Information, Computer, and Communications Security (ASIACCS\u201910). ACM, New York, NY, 282\u2013292."},{"key":"e_1_3_1_83_2","first-page":"1","volume-title":"Proceedings of the 2nd Conference on Theory and Practice of Provenance (TAPP\u201910)","author":"Lyle John","year":"2010","unstructured":"John Lyle and Andrew Martin. 2010. Trusted computing and provenance: Better together. In Proceedings of the 2nd Conference on Theory and Practice of Provenance (TAPP\u201910). 1."},{"key":"e_1_3_1_84_2","volume-title":"Proceedings of the 23rd Annual Network and Distributed System Security Symposium (NDSS\u201916)","author":"Ma Shiqing","year":"2016","unstructured":"Shiqing Ma, Xiangyu Zhang, and Dongyan Xu. 2016. ProTracer: Towards practical provenance tracing by alternating between logging and tainting. In Proceedings of the 23rd Annual Network and Distributed System Security Symposium (NDSS\u201916)."},{"key":"e_1_3_1_85_2","article-title":"PrivChain: Provenance and privacy preservation in blockchain enabled supply chains","volume":"2104","author":"Malik Sidra","year":"2021","unstructured":"Sidra Malik, Volkan Dedeoglu, Salil S. Kanhere, and Raja Jurdak. 2021. PrivChain: Provenance and privacy preservation in blockchain enabled supply chains. CoRR abs\/2104.13964 (2021).","journal-title":"CoRR"},{"key":"e_1_3_1_86_2","first-page":"1","volume-title":"Proceedings of the 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA\u201918)","author":"Malik Sidra","year":"2018","unstructured":"Sidra Malik, Salil S. Kanhere, and Raja Jurdak. 2018. ProductChain: Scalable blockchain framework to support provenance in supply chains. In Proceedings of the 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA\u201918). IEEE, Los Alamitos, CA, 1\u201310."},{"issue":"13","key":"e_1_3_1_87_2","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1002\/cpe.1870","article-title":"ProvManager: A provenance management system for scientific workflows","volume":"24","author":"Marinho Anderson","year":"2012","unstructured":"Anderson Marinho, Leonardo Murta, Cl\u00e1udia Werner, Vanessa Braganholo, S\u00e9rgio Manuel Serra da Cruz, Eduardo Ogasawara, and Marta Mattoso. 2012. ProvManager: A provenance management system for scientific workflows. Concurrency and Computation: Practice and Experience 24, 13 (2012), 1513\u20131530.","journal-title":"Concurrency and Computation: Practice and Experience"},{"key":"e_1_3_1_88_2","volume-title":"Proceedings of the 2nd USENIX Workshop on the Theory and Practice of Provenance (TaPP\u201910)","author":"McDaniel Patrick","year":"2010","unstructured":"Patrick McDaniel, Kevin Butler, Stephen McLaughlin, Radu Sion, Erez Zadok, and Marianne Winslett. 2010. Towards a secure and efficient system for end-to-end provenance. In Proceedings of the 2nd USENIX Workshop on the Theory and Practice of Provenance (TaPP\u201910)."},{"key":"e_1_3_1_89_2","doi-asserted-by":"crossref","unstructured":"Paolo Missier Khalid Belhajjame and James Cheney. 2013. The W3C PROV family of specifications for modelling provenance metadata. InProceedings of the 16th International Conference on Extending Database Technology (EDBT\u201913). ACM New York NY 773\u2013776.","DOI":"10.1145\/2452376.2452478"},{"key":"e_1_3_1_90_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2010.07.005"},{"key":"e_1_3_1_91_2","doi-asserted-by":"crossref","unstructured":"Luc Moreau Juliana Freire Joe Futrelle Robert E. McGrath Jim Myers and Patrick Paulson. 2008. The Open Provenance Model: An overview. In Provenance and Annotation of Data and Processes . Lecture Notes in Computer Science Vol. 5272. Springer 323\u2013326.","DOI":"10.1007\/978-3-540-89965-5_31"},{"key":"e_1_3_1_92_2","article-title":"The Open Provenance Model (v1. 01)","author":"Moreau Luc","year":"2008","unstructured":"Luc Moreau, Beth Plale, Simon Miles, Carole Goble, Paolo Missier, Roger Barga, Yogesh Simmhan, et\u00a0al. 2008. The Open Provenance Model (v1. 01). Technical Report 16148. University of Southampton.","journal-title":"Technical Report 16148. University of Southampton."},{"issue":"4","key":"e_1_3_1_93_2","first-page":"100032","article-title":"BlockHDFS: Blockchain-integrated Hadoop distributed file system for secure provenance traceability","volume":"2","author":"Mothukuri Viraaji","year":"2021","unstructured":"Viraaji Mothukuri, Sai S. Cheerla, Reza M. Parizi, Qi Zhang, and Kim-Kwang Raymond Choo. 2021. BlockHDFS: Blockchain-integrated Hadoop distributed file system for secure provenance traceability. Blockchain: Research and Applications 2, 4 (2021), 100032.","journal-title":"Blockchain: Research and Applications"},{"key":"e_1_3_1_94_2","first-page":"10","volume-title":"Proceedings of the 2009 USENIX Annual Technical Conference (USENIX\u201909)","author":"Muniswamy-Reddy Kiran-Kumar","year":"2009","unstructured":"Kiran-Kumar Muniswamy-Reddy, Uri Braun, David A. Holland, Peter Macko, Diana Maclean, Daniel Margo, Margo Seltzer, and Robin Smogor. 2009. Layering in provenance systems. In Proceedings of the 2009 USENIX Annual Technical Conference (USENIX\u201909). 10."},{"key":"e_1_3_1_95_2","first-page":"4","volume-title":"Proceedings of the 2006 USENIX Annual Technical Conference (ATEC\u201906)","author":"Muniswamy-Reddy Kiran-Kumar","year":"2006","unstructured":"Kiran-Kumar Muniswamy-Reddy, David A. Holland, Uri Braun, and Margo Seltzer. 2006. Provenance-aware storage systems. In Proceedings of the 2006 USENIX Annual Technical Conference (ATEC\u201906). 4."},{"key":"e_1_3_1_96_2","first-page":"68","volume-title":"Secure Data Management","author":"Ni Qun","year":"2009","unstructured":"Qun Ni, Shouhuai Xu, Elisa Bertino, Ravi Sandhu, and Weili Han. 2009. An access control language for a general provenance model. In Secure Data Management, Willem Jonker and Milan Petkovi\u0107 (Eds.). Springer, Berlin, Germany, 68\u201388."},{"key":"e_1_3_1_97_2","volume-title":"Trace-Based Data Provenance for Cyber-Physical Systems","author":"Nwafor Ebelechukwu","year":"2018","unstructured":"Ebelechukwu Nwafor. 2018. Trace-Based Data Provenance for Cyber-Physical Systems. Ph.D. Dissertation (last updated May 19, 2021). Harvard University."},{"key":"e_1_3_1_98_2","first-page":"25","article-title":"Provenance analytics for workflow-based computational experiments: A survey","volume":"51","author":"Oliveira Wellington","year":"2018","unstructured":"Wellington Oliveira, Daniel De Oliveira, and Vanessa Braganholo. 2018. Provenance analytics for workflow-based computational experiments: A survey. ACM Computing Surveys 51, 3 (May 2018), Article 53, 25 pages.","journal-title":"ACM Computing Surveys"},{"key":"e_1_3_1_99_2","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/978-3-319-68136-8_8","volume-title":"Service-Oriented Computing\u2014ICSOC 2016 Workshops","author":"Olufowobi Habeeb","year":"2017","unstructured":"Habeeb Olufowobi, Robert Engel, Nathalie Baracaldo, Luis Angel D. Bathen, Samir Tata, and Heiko Ludwig. 2017. Data provenance model for Internet of Things (IoT) systems. In Service-Oriented Computing\u2014ICSOC 2016 Workshops, Khalil Drira, Hongbing Wang, Qi Yu, Yan Wang, Yuhong Yan, Fran\u00e7ois Charoy, Jan Mendling, Mohamed Mohamed, Zhongjie Wang, and Sami Bhiri (Eds.). Springer International Publishing, Cham, Switzerland, 85\u201391."},{"key":"e_1_3_1_100_2","first-page":"137","volume-title":"Proceedings of the 10th Annual International Conference on Privacy, Security, and Trust (PST\u201912)","author":"Park Jaehong","year":"2012","unstructured":"Jaehong Park, Dang Nguyen, and Ravi Sandhu. 2012. A provenance-based access control model. In Proceedings of the 10th Annual International Conference on Privacy, Security, and Trust (PST\u201912). 137\u2013144."},{"key":"e_1_3_1_101_2","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1145\/3127479.3129249","volume-title":"Proceedings of the 2017 Symposium on Cloud Computing (SoCC\u201917)","author":"Pasquier Thomas","year":"2017","unstructured":"Thomas Pasquier, Xueyuan Han, Mark Goldstein, Thomas Moyer, David Eyers, Margo Seltzer, and Jean Bacon. 2017. Practical whole-system provenance capture. In Proceedings of the 2017 Symposium on Cloud Computing (SoCC\u201917). ACM, New York, NY, 405\u2013418."},{"key":"e_1_3_1_102_2","first-page":"259","volume-title":"Proceedings of the 28th Annual Computer Security Applications Conference (ACSAC\u201912)","author":"Pohly Devin J.","year":"2012","unstructured":"Devin J. Pohly, Stephen McLaughlin, Patrick McDaniel, and Kevin Butler. 2012. Hi-Fi: Collecting high-fidelity whole-system provenance. In Proceedings of the 28th Annual Computer Security Applications Conference (ACSAC\u201912). ACM, New York, NY, 259\u2013268."},{"issue":"4","key":"e_1_3_1_103_2","doi-asserted-by":"crossref","first-page":"2821","DOI":"10.1007\/s11277-021-08157-0","article-title":"Secure data provenance in Internet of Things using hybrid attribute based crypt technique","volume":"118","author":"Porkodi S.","year":"2021","unstructured":"S. Porkodi and D. Kesavaraja. 2021. Secure data provenance in Internet of Things using hybrid attribute based crypt technique. Wireless Personal Communications 118, 4 (2021), 2821\u20132842.","journal-title":"Wireless Personal Communications"},{"key":"e_1_3_1_104_2","first-page":"35","volume-title":"Proceedings of the 8th ACM Conference on Data and Application Security and Privacy (CODASPY\u201918)","author":"Ramachandran Aravind","year":"2018","unstructured":"Aravind Ramachandran and Murat Kantarcioglu. 2018. SmartProvenance: A distributed, blockchain based data provenance system. In Proceedings of the 8th ACM Conference on Data and Application Security and Privacy (CODASPY\u201918). ACM, New York, NY, 35\u201342."},{"issue":"14","key":"e_1_3_1_105_2","first-page":"726","article-title":"A mutual agreement signature scheme for secure data provenance","volume":"13","author":"Rangwala Mohammed","year":"2016","unstructured":"Mohammed Rangwala, Zhengli Liang, Wei Peng, Xukai Zou, and Feng Li. 2016. A mutual agreement signature scheme for secure data provenance. Environments 13, 14 (2016), 726\u2013733.","journal-title":"Environments"},{"issue":"9","key":"e_1_3_1_106_2","doi-asserted-by":"crossref","first-page":"975","DOI":"10.14778\/3329772.3329775","article-title":"Fine-grained, secure and efficient data provenance on blockchain systems","volume":"12","author":"Ruan Pingcheng","year":"2019","unstructured":"Pingcheng Ruan, Gang Chen, Tien Tuan Anh Dinh, Qian Lin, Beng Chin Ooi, and Meihui Zhang. 2019. Fine-grained, secure and efficient data provenance on blockchain systems. Proceedings of the VLDB Endowment 12, 9 (May2019), 975\u2013988.","journal-title":"Proceedings of the VLDB Endowment"},{"key":"e_1_3_1_107_2","first-page":"16","volume-title":"Proceedings of the 13th Conference on USENIX Security Symposium\u2014Volume 13 (SSYM\u201904)","author":"Sailer Reiner","year":"2004","unstructured":"Reiner Sailer, Xiaolan Zhang, Trent Jaeger, and Leendert van Doorn. 2004. Design and implementation of a TCG-based integrity measurement architecture. In Proceedings of the 13th Conference on USENIX Security Symposium\u2014Volume 13 (SSYM\u201904). 16."},{"key":"e_1_3_1_108_2","doi-asserted-by":"crossref","first-page":"1022","DOI":"10.1145\/2382196.2382312","volume-title":"Proceedings of the 2012 ACM Conference on Computer and Communications Security (CCS\u201912)","author":"Shebaro Bilal","year":"2012","unstructured":"Bilal Shebaro, Salmin Sultana, Shakthidhar Reddy Gopavaram, and Elisa Bertino. 2012. Demonstrating a lightweight data provenance for sensor networks. In Proceedings of the 2012 ACM Conference on Computer and Communications Security (CCS\u201912). ACM, New York, NY, 1022\u20131024."},{"key":"e_1_3_1_109_2","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.procs.2019.12.100","article-title":"Secure data provenance in IoT network using Bloom filters","volume":"163","author":"Siddiqui Muhammad Shoaib","year":"2019","unstructured":"Muhammad Shoaib Siddiqui, Atiqur Rahman, and Adnan Nadeem. 2019. Secure data provenance in IoT network using Bloom filters. Procedia Computer Science 163 (2019), 190\u2013197.","journal-title":"Procedia Computer Science"},{"key":"e_1_3_1_110_2","volume-title":"Proceedings of the 9th International Conference on the Internet of Things (IoT\u201919)","author":"Sigwart Marten","year":"2019","unstructured":"Marten Sigwart, Michael Borkowski, Marco Peise, Stefan Schulte, and Stefan Tai. 2019. Blockchain-based data provenance for the Internet of Things. In Proceedings of the 9th International Conference on the Internet of Things (IoT\u201919). ACM, New York, NY, Article 15, 8 pages."},{"key":"e_1_3_1_111_2","doi-asserted-by":"crossref","DOI":"10.1007\/s00779-020-01417-z","article-title":"A secure and extensible blockchain-based data provenance framework for the Internet of Things","author":"Sigwart Marten","year":"2020","unstructured":"Marten Sigwart, Michael Borkowski, Marco Peise, Stefan Schulte, and Stefan Tai. 2020. A secure and extensible blockchain-based data provenance framework for the Internet of Things. Personal and Ubiquitous Computing. Open access, June 16, 2020.","journal-title":"Personal and Ubiquitous Computing."},{"issue":"3","key":"e_1_3_1_112_2","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1145\/1084805.1084812","article-title":"A survey of data provenance in e-science","volume":"34","author":"Simmhan Yogesh L.","year":"2005","unstructured":"Yogesh L. Simmhan, Beth Plale, and Dennis Gannon. 2005. A survey of data provenance in e-science. ACM SIGMOD Record 34, 3 (Sept. 2005), 31\u201336.","journal-title":"ACM SIGMOD Record"},{"key":"e_1_3_1_113_2","first-page":"69","volume-title":"Proceedings of the 2008 International Conference on Distributed Computing Systems (ICDCS\u201908)","author":"Sion Radu","year":"2008","unstructured":"Radu Sion. 2008. Strong WORM. In Proceedings of the 2008 International Conference on Distributed Computing Systems (ICDCS\u201908). IEEE, Los Alamitos, CA, 69\u201376."},{"key":"e_1_3_1_114_2","doi-asserted-by":"crossref","unstructured":"Jack W. Stokes Paul England and Kevin Kane. 2021. Preventing machine learning poisoning attacks using authentication and provenance. arxiv:cs.CR\/2105.10051 (2021).","DOI":"10.1109\/MILCOM52596.2021.9653139"},{"key":"e_1_3_1_115_2","doi-asserted-by":"crossref","first-page":"107189","DOI":"10.1016\/j.comnet.2020.107189","article-title":"Provenance-enabled packet path tracing in the RPL-based Internet of Things","volume":"173","author":"Suhail Sabah","year":"2020","unstructured":"Sabah Suhail, Rasheed Hussain, Mohammad Abdellatif, Shashi Raj Pandey, Abid Khan, and Choong Seon Hong. 2020. Provenance-enabled packet path tracing in the RPL-based Internet of Things. Computer Networks 173 (2020), 107189.","journal-title":"Computer Networks"},{"key":"e_1_3_1_116_2","first-page":"332","volume-title":"Proceedings of the 2011 31st International Conference on Distributed Computing Systems Workshops","author":"Sultana Salmin","year":"2011","unstructured":"Salmin Sultana, Elisa Bertino, and Mohamed Shehab. 2011. A provenance based mechanism to identify malicious packet dropping adversaries in sensor networks. In Proceedings of the 2011 31st International Conference on Distributed Computing Systems Workshops. 332\u2013338."},{"key":"e_1_3_1_117_2","first-page":"101","volume-title":"Proceedings of the 2012 IEEE 18th International Conference on Parallel and Distributed Systems","author":"Sultana Salmin","year":"2012","unstructured":"Salmin Sultana, Gabriel Ghinita, Elisa Bertino, and Mohamed Shehab. 2012. A lightweight secure provenance scheme for wireless sensor networks. In Proceedings of the 2012 IEEE 18th International Conference on Parallel and Distributed Systems. 101\u2013108."},{"issue":"3","key":"e_1_3_1_118_2","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1109\/TDSC.2013.44","article-title":"A lightweight secure scheme for detecting provenance forgery and packet drop attacks in wireless sensor networks","volume":"12","author":"Sultana Salmin","year":"2015","unstructured":"Salmin Sultana, Gabriel Ghinita, Elisa Bertino, and Mohamed Shehab. 2015. A lightweight secure scheme for detecting provenance forgery and packet drop attacks in wireless sensor networks. IEEE Transactions on Dependable and Secure Computing 12, 3 (2015), 256\u2013269.","journal-title":"IEEE Transactions on Dependable and Secure Computing"},{"key":"e_1_3_1_119_2","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1007\/978-3-642-13739-6_22","volume-title":"Data and Applications Security and Privacy XXIV","author":"Syalim Amril","year":"2010","unstructured":"Amril Syalim, Takashi Nishide, and Kouichi Sakurai. 2010. Preserving integrity and confidentiality of a directed acyclic graph model of provenance. In Data and Applications Security and Privacy XXIV, Sara Foresti and Sushil Jajodia (Eds.). Springer, Berlin, Germany, 311\u2013318."},{"key":"e_1_3_1_120_2","doi-asserted-by":"crossref","unstructured":"Wai Kit Sze and R. Sekar. 2015. Provenance-based integrity protection for Windows. InProceedings of the 31st Annual Computer Security Applications Conference (ACSAC\u201915). ACM New York NY 211\u2013220.","DOI":"10.1145\/2818000.2818011"},{"key":"e_1_3_1_121_2","volume-title":"Proceedings of the Network and Distributed System Security Symposium (NDSS\u201922)","author":"Tabiban Azadeh","year":"2022","unstructured":"Azadeh Tabiban, Heyang Zhao, Yosr Jarraya, Makan Pourzandi, Mengyuan Zhang, and Lingyu Wang. 2022. ProvTalk: Towards interpretable multi-level provenance analysis in networking functions virtualization (NFV). In Proceedings of the Network and Distributed System Security Symposium (NDSS\u201922)."},{"issue":"4","key":"e_1_3_1_122_2","first-page":"3","article-title":"Provenance in databases: Past, current, and future.","volume":"30","year":"2007","unstructured":"Wang Chiew Tan. 2007. Provenance in databases: Past, current, and future. IEEE Data Engineering Bulletin 30, 4 (2007), 3\u201312.","journal-title":"IEEE Data Engineering Bulletin"},{"key":"e_1_3_1_123_2","first-page":"1571","volume-title":"Proceedings of the 2013 IEEE 10th International Conference on High Performance Computing and Communications and the 2013 IEEE International Conference on Embedded and Ubiquitous Computing","author":"Tan Yu Shyang","year":"2013","unstructured":"Yu Shyang Tan, Ryan K. L. Ko, and Geoff Holmes. 2013. Security and data accountability in distributed systems: A provenance survey. In Proceedings of the 2013 IEEE 10th International Conference on High Performance Computing and Communications and the 2013 IEEE International Conference on Embedded and Ubiquitous Computing. 1571\u20131578."},{"key":"e_1_3_1_124_2","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1145\/3477314.3506993","volume-title":"Proceedings of the 37th ACM\/SIGAPP Symposium on Applied Computing (SAC\u201922)","author":"Tang Wenyi","year":"2022","unstructured":"Wenyi Tang, Changhao Chenli, Chanyang Ju, and Taeho Jung. 2022. Trac2Chain: Trackability and traceability of graph data in blockchain with linkage privacy. In Proceedings of the 37th ACM\/SIGAPP Symposium on Applied Computing (SAC\u201922). ACM, New York, NY, 272\u2013281."},{"issue":"4","key":"e_1_3_1_125_2","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1109\/MCE.2019.2892222","article-title":"Data provenance in the cloud: A blockchain-based approach","volume":"8","author":"Tosh Deepak","year":"2019","unstructured":"Deepak Tosh, Sachin Shetty, Xueping Liang, Charles Kamhoua, and Laurent L. Njilla. 2019. Data provenance in the cloud: A blockchain-based approach. IEEE Consumer Electronics Magazine 8, 4 (2019), 38\u201344.","journal-title":"IEEE Consumer Electronics Magazine"},{"key":"e_1_3_1_126_2","first-page":"1","volume-title":"Proceedings of the 2016 11th International Conference on Malicious and Unwanted Software (MALWARE\u201916)","author":"Upchurch Jason","year":"2016","unstructured":"Jason Upchurch and Xiaobo Zhou. 2016. Malware provenance: Code reuse detection in malicious software at scale. In Proceedings of the 2016 11th International Conference on Malicious and Unwanted Software (MALWARE\u201916). 1\u20139."},{"key":"e_1_3_1_127_2","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1007\/978-3-642-40203-6_31","volume-title":"Computer Security\u2014ESORICS 2013","author":"Vadrevu Phani","year":"2013","unstructured":"Phani Vadrevu, Babak Rahbarinia, Roberto Perdisci, Kang Li, and Manos Antonakakis. 2013. Measuring and detecting malware downloads in live network traffic. In Computer Security\u2014ESORICS 2013, Jason Crampton, Sushil Jajodia, and Keith Mayes (Eds.). Springer, Berlin, Germany, 556\u2013573."},{"key":"e_1_3_1_128_2","first-page":"32","article-title":"Sensor network provenance compression using dynamic Bayesian networks","volume":"13","author":"Wang Changda","year":"2017","unstructured":"Changda Wang and Elisa Bertino. 2017. Sensor network provenance compression using dynamic Bayesian networks. ACM Transactions on Sensor Networks 13, 1 (Jan. 2017), Article 5, 32 pages.","journal-title":"ACM Transactions on Sensor Networks"},{"issue":"2","key":"e_1_3_1_129_2","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1109\/TPDS.2015.2402156","article-title":"Dictionary based secure provenance compression for wireless sensor networks","volume":"27","author":"Wang Changda","year":"2016","unstructured":"Changda Wang, Syed Rafiul Hussain, and Elisa Bertino. 2016. Dictionary based secure provenance compression for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems 27, 2 (2016), 405\u2013418.","journal-title":"IEEE Transactions on Parallel and Distributed Systems"},{"key":"e_1_3_1_130_2","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1007\/978-3-319-78813-5_42","volume-title":"Security and Privacy in Communication Networks","author":"Wang Chonghua","year":"2018","unstructured":"Chonghua Wang, Shiqing Ma, Xiangyu Zhang, Junghwan Rhee, Xiaochun Yun, and Zhiyu Hao. 2018. A hypervisor level provenance system to reconstruct attack story caused by kernel malware. In Security and Privacy in Communication Networks. Springer International Publishing, Cham, Switzerland, 778\u2013792."},{"key":"e_1_3_1_131_2","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1145\/3274694.3274751","volume-title":"Proceedings of the 34th Annual Computer Security Applications Conference (ACSAC\u201918)","author":"Wang Fei","year":"2018","unstructured":"Fei Wang, Yonghwi Kwon, Shiqing Ma, Xiangyu Zhang, and Dongyan Xu. 2018. Lprov: Practical library-aware provenance tracing. In Proceedings of the 34th Annual Computer Security Applications Conference (ACSAC\u201918). ACM, New York, NY, 605\u2013617."},{"key":"e_1_3_1_132_2","volume-title":"Proceedings of the 27th Annual Network and Distributed System Security Symposium (NDSS\u201920)","author":"Wang Qi","year":"2020","unstructured":"Qi Wang, Wajih Ul Hassan, Ding Li, Kangkook Jee, Xiao Yu, Kexuan Zou, Junghwan Rhee, et\u00a0al. 2020. You are what you do: Hunting stealthy malware via data provenance analysis. In Proceedings of the 27th Annual Network and Distributed System Security Symposium (NDSS\u201920)."},{"key":"e_1_3_1_133_2","article-title":"threaTrace: Detecting and tracing host-based threats in node level through provenance graph learning","volume":"2111","author":"Wang Su","year":"2021","unstructured":"Su Wang, Zhiliang Wang, Tao Zhou, Xia Yin, Dongqi Han, Han Zhang, Hongbin Sun, Xingang Shi, and Jiahai Yang. 2021. threaTrace: Detecting and tracing host-based threats in node level through provenance graph learning. CoRR abs\/2111.04333 (2021).","journal-title":"CoRR"},{"key":"e_1_3_1_134_2","first-page":"1","volume-title":"Proceedings of the 2010 IEEE Global Telecommunications Conference (GLOBECOM\u201910)","author":"Wang Xinlei","year":"2010","unstructured":"Xinlei Wang, Kannan Govindan, and Prasant Mohapatra. 2010. Provenance-based information trustworthiness evaluation in multi-hop networks. In Proceedings of the 2010 IEEE Global Telecommunications Conference (GLOBECOM\u201910). 1\u20135."},{"key":"e_1_3_1_135_2","first-page":"1","volume-title":"Proceedings of the 2012 IEEE Military Communications Conference (MILCOM\u201912)","author":"Wang Xinlei","year":"2012","unstructured":"Xinlei Wang, Kai Zeng, Kannan Govindan, and Prasant Mohapatra. 2012. Chaining for securing data provenance in distributed information networks. In Proceedings of the 2012 IEEE Military Communications Conference (MILCOM\u201912). 1\u20136."},{"key":"e_1_3_1_136_2","first-page":"1","volume-title":"Proceedings of the 2013 21st IEEE International Conference on Network Protocols (ICNP\u201913)","author":"Wang Xinlei","year":"2013","unstructured":"Xinlei Wang, Jindan Zhu, Amit Pande, Arun Raghuramu, Prasant Mohapatra, Tarek Abdelzaher, and Raghu Ganti. 2013. STAMP: Ad hoc spatial-temporal provenance assurance for mobile users. In Proceedings of the 2013 21st IEEE International Conference on Network Protocols (ICNP\u201913). 1\u201310."},{"key":"e_1_3_1_137_2","first-page":"287","volume-title":"Web Information Systems and Applications","author":"Wu Jian","year":"2018","unstructured":"Jian Wu, Weiwei Ni, and Sen Zhang. 2018. Generalization based privacy-preserving provenance publishing. In Web Information Systems and Applications, Xiaofeng Meng, Ruixuan Li, Kanliang Wang, Baoning Niu, Xin Wang, and Gansen Zhao (Eds.). Springer International Publishing, Cham, Switzerland, 287\u2013299."},{"key":"e_1_3_1_138_2","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2018.2867595"},{"key":"e_1_3_1_139_2","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.future.2016.02.005","article-title":"Unifying intrusion detection and forensic analysis via provenance awareness","volume":"61","author":"Xie Yulai","year":"2016","unstructured":"Yulai Xie, Dan Feng, Zhipeng Tan, and Junzhe Zhou. 2016. Unifying intrusion detection and forensic analysis via provenance awareness. Future Generation Computer Systems 61 (2016), 26\u201336.","journal-title":"Future Generation Computer Systems"},{"issue":"6","key":"e_1_3_1_140_2","first-page":"2658","article-title":"P-Gaussian: Provenance-based Gaussian distribution for detecting intrusion behavior variants using high efficient and real time memory databases","volume":"18","author":"Xie Yulai","year":"2021","unstructured":"Yulai Xie, Yafeng Wu, Dan Feng, and Darrell Long. 2021. P-Gaussian: Provenance-based Gaussian distribution for detecting intrusion behavior variants using high efficient and real time memory databases. IEEE Transactions on Dependable and Secure Computing 18, 6 (2021), 2658\u20132674.","journal-title":"IEEE Transactions on Dependable and Secure Computing"},{"key":"e_1_3_1_141_2","article-title":"Cluster-based arithmetic coding for data provenance compression in wireless sensor networks","volume":"2018","author":"Xu Qinbao","year":"2018","unstructured":"Qinbao Xu, Rizwan Akhtar, Xing Zhang, Changda Wang, and Kim-Kwang Raymond Choo. 2018. Cluster-based arithmetic coding for data provenance compression in wireless sensor networks. Wireless Communications and Mobile Computing 2018 (Jan. 2018), 15.","journal-title":"Wireless Communications and Mobile Computing"},{"key":"e_1_3_1_142_2","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.jnca.2017.06.003","article-title":"Trustworthy data: A survey, taxonomy and future trends of secure provenance schemes","volume":"94","author":"Zafar Faheem","year":"2017","unstructured":"Faheem Zafar, Abid Khan, Saba Suhail, Idrees Ahmed, Khizar Hameed, Hayat Mohammad Khan, Farhana Jabeen, and Adeel Anjum. 2017. Trustworthy data: A survey, taxonomy and future trends of secure provenance schemes. Journal of Network and Computer Applications 94 (2017), 50\u201368.","journal-title":"Journal of Network and Computer Applications"},{"key":"e_1_3_1_143_2","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1109\/CLOUD.2016.0132","volume-title":"Proceedings of the 2016 IEEE 9th International Conference on Cloud Computing (CLOUD\u201916)","author":"Zawoad Shams","year":"2016","unstructured":"Shams Zawoad and Ragib Hasan. 2016. SECAP: Towards securing application provenance in the cloud. In Proceedings of the 2016 IEEE 9th International Conference on Cloud Computing (CLOUD\u201916). 900\u2013903."},{"key":"e_1_3_1_144_2","first-page":"13","volume-title":"Proceedings of the 2018 14th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN\u201918)","author":"Zeng Yu","year":"2018","unstructured":"Yu Zeng, Xing Zhang, Rizwan Akhtar, and Changda Wang. 2018. A blockchain-based scheme for secure data provenance in wireless sensor networks. In Proceedings of the 2018 14th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN\u201918). 13\u201318."},{"key":"e_1_3_1_145_2","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/978-3-642-04219-5_2","volume-title":"Secure Data Management","author":"Zhang Jing","year":"2009","unstructured":"Jing Zhang, Adriane Chapman, and Kristen LeFevre. 2009. Do you know where your data\u2019s been?\u2014Tamper-evident database provenance. In Secure Data Management, Willem Jonker and Milan Petkovi\u0107 (Eds.). Springer, Berlin, Germany, 17\u201332."},{"key":"e_1_3_1_146_2","first-page":"446","volume-title":"Proceedings of the 2011 IEEE 3rd International Conference on Cloud Computing Technology and Science","author":"Zhang Olive Qing","year":"2011","unstructured":"Olive Qing Zhang, Markus Kirchberg, Ryan K. L. Ko, and Bu Sung Lee. 2011. How to track your data: The case for cloud computing provenance. In Proceedings of the 2011 IEEE 3rd International Conference on Cloud Computing Technology and Science. 446\u2013453."},{"key":"e_1_3_1_147_2","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-030-01950-1_1","volume-title":"Information and Communications Security","author":"Zhang Yuan","year":"2018","unstructured":"Yuan Zhang, Xiaodong Lin, and Chunxiang Xu. 2018. Blockchain-based secure data provenance for cloud storage. In Information and Communications Security, David Naccache, Shouhuai Xu, Sihan Qing, Pierangela Samarati, Gregory Blanc, Rongxing Lu, Zonghua Zhang, and Ahmed Meddahi (Eds.). Springer International Publishing, Cham, Switzerland, 3\u201319."},{"issue":"11","key":"e_1_3_1_148_2","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.14778\/3137628.3137661","article-title":"Privacy-preserving network provenance","volume":"10","author":"Zhang Yuankai","year":"2017","unstructured":"Yuankai Zhang, Adam O\u2019Neill, Micah Sherr, and Wenchao Zhou. 2017. Privacy-preserving network provenance. Proceedings of the VLDB Endowment 10, 11 (Aug. 2017), 1550\u20131561.","journal-title":"Proceedings of the VLDB Endowment"},{"key":"e_1_3_1_149_2","first-page":"36","article-title":"Provenance-based intrusion detection systems: A survey","volume":"55","author":"Zipperle Michael","year":"2022","unstructured":"Michael Zipperle, Florian Gottwalt, Elizabeth Chang, and Tharam Dillon. 2022. Provenance-based intrusion detection systems: A survey. ACM Computing Surveys 55, 7 (Dec. 2022), Article 135, 36 pages.","journal-title":"ACM Computing Surveys"}],"container-title":["ACM Computing Surveys"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3593294","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3593294","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:20Z","timestamp":1750178240000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3593294"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,17]]},"references-count":148,"journal-issue":{"issue":"14s","published-print":{"date-parts":[[2023,12,31]]}},"alternative-id":["10.1145\/3593294"],"URL":"https:\/\/doi.org\/10.1145\/3593294","relation":{},"ISSN":["0360-0300","1557-7341"],"issn-type":[{"value":"0360-0300","type":"print"},{"value":"1557-7341","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,17]]},"assertion":[{"value":"2022-07-17","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-04-13","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-07-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}