{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T06:36:11Z","timestamp":1764570971428,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030900182"},{"type":"electronic","value":"9783030900199"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-90019-9_16","type":"book-chapter","created":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T18:47:48Z","timestamp":1635878868000},"page":"311-331","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Cryptonite: A Framework for Flexible Time-Series Secure Aggregation with Non-interactive Fault Recovery"],"prefix":"10.1007","author":[{"given":"Ryan","family":"Karl","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"Takeshita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taeho","family":"Jung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,11,3]]},"reference":[{"key":"16_CR1","doi-asserted-by":"crossref","unstructured":"Bao, H., Lu, R.: DDPFT: secure data aggregation scheme with differential privacy and fault tolerance. In: IEEE ICC 2015, pp. 7240\u20137245. IEEE (2015)","DOI":"10.1109\/ICC.2015.7249482"},{"issue":"3","key":"16_CR2","first-page":"248","volume":"2","author":"H Bao","year":"2015","unstructured":"Bao, H., Lu, R.: A new differentially private data aggregation with fault tolerance for smart grid communications. IEEE IoT-J 2(3), 248\u2013258 (2015)","journal-title":"IEEE IoT-J"},{"issue":"1","key":"16_CR3","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1007\/s12083-015-0410-7","volume":"10","author":"H Bao","year":"2017","unstructured":"Bao, H., Lu, R.: A lightweight data aggregation scheme achieving privacy preservation and data integrity with differential privacy and fault tolerance. Peer Peer Netw. Appl. 10(1), 106\u2013121 (2017)","journal-title":"Peer Peer Netw. Appl."},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"Becker, D., Guajardo, J., Zimmermann, K.H.: Revisiting private stream aggregation: lattice-based PSA. In: NDSS (2018)","DOI":"10.14722\/ndss.2018.23120"},{"key":"16_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/978-3-540-30576-7_18","volume-title":"Theory of Cryptography","author":"D Boneh","year":"2005","unstructured":"Boneh, D., Goh, E.-J., Nissim, K.: Evaluating 2-DNF formulas on ciphertexts. In: Kilian, J. (ed.) TCC 2005. LNCS, vol. 3378, pp. 325\u2013341. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/978-3-540-30576-7_18"},{"key":"16_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1007\/978-3-642-32946-3_15","volume-title":"Financial Cryptography and Data Security","author":"T-HH Chan","year":"2012","unstructured":"Chan, T.-H.H., Shi, E., Song, D.: Privacy-preserving stream aggregation with fault tolerance. In: Keromytis, A.D. (ed.) FC 2012. LNCS, vol. 7397, pp. 200\u2013214. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-32946-3_15"},{"issue":"1","key":"16_CR7","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/s11276-015-1120-z","volume":"23","author":"J Chen","year":"2017","unstructured":"Chen, J., Ma, H., Zhao, D.: Private data aggregation with integrity assurance and fault tolerance for mobile crowd-sensing. Wireless Netw. 23(1), 131\u2013144 (2017)","journal-title":"Wireless Netw."},{"issue":"6","key":"16_CR8","doi-asserted-by":"publisher","first-page":"1122","DOI":"10.1007\/s12083-014-0255-5","volume":"8","author":"L Chen","year":"2015","unstructured":"Chen, L., Lu, R., Cao, Z.: PDAFT: a privacy-preserving data aggregation scheme with fault tolerance for smart grid communications. Peer Peer Netw. Appl. 8(6), 1122\u20131132 (2015)","journal-title":"Peer Peer Netw. Appl."},{"key":"16_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1007\/978-3-030-03329-3_24","volume-title":"Advances in Cryptology \u2013 ASIACRYPT 2018","author":"J Chotard","year":"2018","unstructured":"Chotard, J., Dufour Sans, E., Gay, R., Phan, D.H., Pointcheval, D.: Decentralized multi-client functional encryption for inner product. In: Peyrin, T., Galbraith, S. (eds.) ASIACRYPT 2018. LNCS, vol. 11273, pp. 703\u2013732. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-03329-3_24"},{"issue":"3","key":"16_CR10","first-page":"39","volume":"12","author":"D Gillin","year":"2000","unstructured":"Gillin, D.: The federal trade commission and internet privacy. Mark. Res. 12(3), 39 (2000)","journal-title":"Mark. Res."},{"issue":"9","key":"16_CR11","doi-asserted-by":"publisher","first-page":"1940","DOI":"10.1109\/TIFS.2015.2472369","volume":"11","author":"S Han","year":"2015","unstructured":"Han, S., Zhao, S., Li, Q., Ju, C.H., Zhou, W.: PPM-HDA: privacy-preserving and multifunctional health data aggregation with fault tolerance. IEEE Trans. Inf. Forensics Secur. 11(9), 1940\u20131955 (2015)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"16_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/978-3-642-39884-1_10","volume-title":"Financial Cryptography and Data Security","author":"M Joye","year":"2013","unstructured":"Joye, M., Libert, B.: A scalable scheme for privacy-preserving aggregation of time-series data. In: Sadeghi, A.-R. (ed.) FC 2013. LNCS, vol. 7859, pp. 111\u2013125. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39884-1_10"},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Jung, T., Mao, X., Li, X., Tang, S., Gong, W., Zhang, L.: Privacy-preserving data aggregation without secure channel: multivariate polynomial evaluation. In: IEEE INFOCOM (2013)","DOI":"10.1109\/INFCOM.2013.6567071"},{"issue":"2","key":"16_CR14","first-page":"260","volume":"15","author":"T Jung","year":"2016","unstructured":"Jung, T., Han, J., Li, X.Y.: PDA: semantically secure time-series data analytics with dynamic subgroups. TDSC 15(2), 260\u2013274 (2016)","journal-title":"TDSC"},{"key":"16_CR15","series-title":"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1007\/978-3-030-37231-6_25","volume-title":"Security and Privacy in Communication Networks","author":"R Karl","year":"2019","unstructured":"Karl, R., Burchfield, T., Takeshita, J., Jung, T.: Non-interactive MPC with trusted hardware secure against residual function attacks. In: Chen, S., Choo, K.-K.R., Fu, X., Lou, W., Mohaisen, A. (eds.) SecureComm 2019. LNICST, vol. 305, pp. 425\u2013439. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-37231-6_25"},{"key":"16_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1007\/978-3-642-39077-7_4","volume-title":"Privacy Enhancing Technologies","author":"Q Li","year":"2013","unstructured":"Li, Q., Cao, G.: Efficient privacy-preserving stream aggregation in mobile sensing with low aggregation error. In: De Cristofaro, E., Wright, M. (eds.) PETS 2013. LNCS, vol. 7981, pp. 60\u201381. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39077-7_4"},{"key":"16_CR17","unstructured":"Martin, D.: Intel Xeon ice lake CPUs to get SGX with expanded security features (2020)"},{"key":"16_CR18","doi-asserted-by":"crossref","unstructured":"Mofrad, S., Zhang, F., Lu, S., Shi, W.: A comparison study of intel SGX and AMD memory encryption technology. In: ACM HASP, pp. 1\u20138 (2018)","DOI":"10.1145\/3214292.3214301"},{"issue":"5","key":"16_CR19","doi-asserted-by":"publisher","first-page":"2483","DOI":"10.1109\/TSG.2017.2673843","volume":"8","author":"J Ni","year":"2017","unstructured":"Ni, J., Zhang, K., Alharbi, K., Lin, X., Zhang, N., Shen, X.S.: Differentially private smart metering with fault tolerance and range-based filtering. IEEE Trans. Smart Grid 8(5), 2483\u20132493 (2017)","journal-title":"IEEE Trans. Smart Grid"},{"key":"16_CR20","doi-asserted-by":"crossref","unstructured":"Parikh, N., Sundaresan, N.: Scalable and near real-time burst detection from ecommerce queries. In: ACM SIGKDD, KDD 2008, pp. 972\u2013980. ACM (2008)","DOI":"10.1145\/1401890.1402006"},{"key":"16_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/BFb0055722","volume-title":"Advances in Cryptology \u2014 CRYPTO \u201998","author":"T Rabin","year":"1998","unstructured":"Rabin, T.: A simplified approach to threshold and proactive RSA. In: Krawczyk, H. (ed.) CRYPTO 1998. LNCS, vol. 1462, pp. 89\u2013104. Springer, Heidelberg (1998). https:\/\/doi.org\/10.1007\/BFb0055722"},{"key":"16_CR22","unstructured":"Russell, M.A.: Mining the Social Web. O\u2019Reilly Media, Inc., Sebastopol (2011)"},{"key":"16_CR23","unstructured":"Shi, E., Chan, T.H., Rieffel, E., Chow, R., Song, D.: Privacy-preserving aggregation of time-series data. In: Proceedings of NDSS, vol. 2, pp. 1\u201317. Citeseer (2011)"},{"key":"16_CR24","doi-asserted-by":"crossref","unstructured":"Shi, J., Zhang, R., Liu, Y., Zhang, Y.: Prisense: privacy-preserving data aggregation in people-centric urban sensing systems. In: INFOCOM, pp. 1\u20139. IEEE (2010)","DOI":"10.1109\/INFCOM.2010.5462147"},{"key":"16_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/978-3-030-25283-0_14","volume-title":"Progress in Cryptology \u2013 LATINCRYPT 2017","author":"F Valovich","year":"2019","unstructured":"Valovich, F.: Aggregation of time-series data under differential privacy. In: Lange, T., Dunkelman, O. (eds.) LATINCRYPT 2017. LNCS, vol. 11368, pp. 249\u2013270. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-25283-0_14"},{"key":"16_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/978-3-319-76620-1_8","volume-title":"Number-Theoretic Methods in Cryptology","author":"F Valovich","year":"2018","unstructured":"Valovich, F., Ald\u00e0, F.: Computational differential privacy from lattice-based cryptography. In: Kaczorowski, J., Pieprzyk, J., Pomyka\u0142a, J. (eds.) NuTMiC 2017. LNCS, vol. 10737, pp. 121\u2013141. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-76620-1_8"},{"key":"16_CR27","doi-asserted-by":"crossref","unstructured":"Vargas, R.E.V., et al.: A realistic and public dataset with rare undesirable real events in oil wells. J. Pet. Sci. Eng. 181, 106223 (2019)","DOI":"10.1016\/j.petrol.2019.106223"},{"issue":"6","key":"16_CR28","doi-asserted-by":"publisher","first-page":"4065","DOI":"10.1109\/TII.2020.3014401","volume":"17","author":"X Wang","year":"2020","unstructured":"Wang, X., Liu, Y., Choo, K.: Fault tolerant, multi-subset aggregation scheme for smart grid. IEEE Trans. Ind. Inform. 17(6), 4065\u20134072 (2020)","journal-title":"IEEE Trans. Ind. Inform."},{"key":"16_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1007\/978-3-319-45744-4_22","volume-title":"Computer Security \u2013 ESORICS 2016","author":"N Weichbrodt","year":"2016","unstructured":"Weichbrodt, N., Kurmus, A., Pietzuch, P., Kapitza, R.: AsyncShock: exploiting synchronisation bugs in intel SGX enclaves. In: Askoxylakis, I., Ioannidis, S., Katsikas, S., Meadows, C. (eds.) ESORICS 2016. LNCS, vol. 9878, pp. 440\u2013457. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-45744-4_22"},{"key":"16_CR30","doi-asserted-by":"crossref","unstructured":"Won, J., Ma, C.Y., Yau, D.K., Rao, N.S.: Proactive fault-tolerant aggregation protocol for private smart metering. In: INFOCOM, pp. 2804\u20132812. IEEE (2014)","DOI":"10.1109\/INFOCOM.2014.6848230"},{"issue":"2","key":"16_CR31","doi-asserted-by":"publisher","first-page":"2486","DOI":"10.1109\/JIOT.2018.2870873","volume":"6","author":"K Xue","year":"2018","unstructured":"Xue, K., Yang, Q., Li, S., Wei, D.S., Peng, M., Memon, I., Hong, P.: PPSO: a privacy-preserving service outsourcing scheme for real-time pricing demand response in smart grid. IEEE Internet Things J. 6(2), 2486\u20132496 (2018)","journal-title":"IEEE Internet Things J."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Security and Privacy in Communication Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-90019-9_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,2]],"date-time":"2021-11-02T18:54:02Z","timestamp":1635879242000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-90019-9_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030900182","9783030900199"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-90019-9_16","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"3 November 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SecureComm","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Security and Privacy in Communication Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"securecomm2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/securecomm.eai-conferences.org\/2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confy +","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"143","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"56","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}