{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:16:44Z","timestamp":1783527404547,"version":"3.55.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030934781","type":"print"},{"value":"9783030934798","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-030-93479-8_5","type":"book-chapter","created":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T19:02:32Z","timestamp":1641063752000},"page":"77-91","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Differential Privacy-Based Permissioned Blockchain for Private Data Sharing in Industrial IoT"],"prefix":"10.1007","author":[{"given":"Muhammad","family":"Islam","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mubashir Husain","family":"Rehmani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinjun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,1]]},"reference":[{"issue":"2","key":"5_CR1","doi-asserted-by":"publisher","first-page":"1676","DOI":"10.1109\/COMST.2018.2886932","volume":"21","author":"MS Ali","year":"2019","unstructured":"Ali, M.S., Vecchio, M., Pincheira, M., Dolui, K., Antonelli, F., Rehmani, M.H.: Applications of blockchains in the Internet of Things: a comprehensive survey. IEEE Commun. Surv. Tutor. 21(2), 1676\u20131717 (2019)","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Wen, Q., Gao, Y., Chen, Z., Wu, D.: A blockchain-based data sharing scheme in the supply chain by IIoT. In: IEEE International Conference on Industrial Cyber Physical Systems (ICPS), pp. 695\u2013700. IEEE (2019)","DOI":"10.1109\/ICPHYS.2019.8780161"},{"issue":"2","key":"5_CR3","doi-asserted-by":"publisher","first-page":"1432","DOI":"10.1109\/COMST.2020.2969706","volume":"22","author":"Y Xiao","year":"2020","unstructured":"Xiao, Y., Zhang, N., Lou, W., Hou, Y.T.: A survey of distributed consensus protocols for blockchain networks. IEEE Commun. Surv. Tutor. 22(2), 1432\u20131465 (2020)","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"5_CR4","unstructured":"Hyperledger fabric documentation. https:\/\/hyperledger-fabric.readthedocs.io\/en\/release-2.2\/. Accessed 26 Mar 2021"},{"key":"5_CR5","doi-asserted-by":"crossref","unstructured":"Yasusaka, Y., Watanabe, C., Kitagawa, H.: Privacy-preserving pre-consensus protocol for blockchains. In: IEEE International Conference on Big Data and Smart Computing (BigComp), pp. 1\u20138 (2019)","DOI":"10.1109\/BIGCOMP.2019.8679137"},{"issue":"6","key":"5_CR6","doi-asserted-by":"publisher","first-page":"3652","DOI":"10.1109\/TII.2019.2894573","volume":"15","author":"J Wan","year":"2019","unstructured":"Wan, J., Li, J., Imran, M., Li, D.: A blockchain-based solution for enhancing security and privacy in smart factory. IEEE Trans. Ind. Inf. 15(6), 3652\u20133660 (2019)","journal-title":"IEEE Trans. Ind. Inf."},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1007\/978-1-4419-6524-0_13","volume-title":"Handbook of Cloud Computing","author":"X Liu","year":"2010","unstructured":"Liu, X., Yuan, D., Zhang, G., Chen, J., Yang, Y.: SwinDeW-C: a peer-to-peer based cloud workflow system. In: Furht, B., Escalante, A. (eds.) Handbook of Cloud Computing, pp. 309\u2013332. Springer, Boston (2010). https:\/\/doi.org\/10.1007\/978-1-4419-6524-0_13"},{"issue":"5","key":"5_CR8","doi-asserted-by":"publisher","first-page":"1316","DOI":"10.1016\/j.jcss.2011.12.016","volume":"78","author":"L Qi","year":"2012","unstructured":"Qi, L., Dou, W., Zhang, X., Chen, J.: A QoS-aware composition method supporting cross-platform service invocation in cloud environment. J. Comput. Syst. Sci. 78(5), 1316\u20131329 (2012)","journal-title":"J. Comput. Syst. Sci."},{"issue":"5","key":"5_CR9","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1016\/j.future.2010.06.008","volume":"27","author":"X Song","year":"2011","unstructured":"Song, X., Dou, W., Chen, J.: A workflow framework for intelligent service composition. Future Gener. Comput. Syst. 27(5), 627\u2013636 (2011)","journal-title":"Future Gener. Comput. Syst."},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Wang, L., Jie, W., Chen, J.: Grid Computing: Infrastructure, Service, and Applications. CRC Press, p. 528 (2009). ISBN-13: 978-1420067668","DOI":"10.1201\/9781420067682"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Chen, J., Yang, Y.: Temporal dependency based checkpoint selection for dynamic verification of fixed-time constraints in grid workflow systems. In: ACM\/IEEE 30th International Conference on Software Engineering, pp. 141\u2013150. IEEE (2008)","DOI":"10.1145\/1368088.1368108"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Puthal, D., Nepal, S., Ranjan, R., Chen, J.: DLSeF: a dynamic key-length-based efficient real-time security verification model for big data stream. ACM Trans. Embed. Comput. Syst. 16(2), 1\u201324 (2016)","DOI":"10.1145\/2937755"},{"issue":"6","key":"5_CR13","doi-asserted-by":"publisher","first-page":"3680","DOI":"10.1109\/TII.2019.2903342","volume":"15","author":"J Huang","year":"2019","unstructured":"Huang, J., Kong, L., Chen, G., Wu, M., Liu, X., Zeng, P.: Towards secure industrial IoT: blockchain system with credit-based consensus mechanism. IEEE Trans. Ind. Inf. 15(6), 3680\u20133689 (2019)","journal-title":"IEEE Trans. Ind. Inf."},{"key":"5_CR14","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.future.2019.08.005","volume":"102","author":"EK Wang","year":"2020","unstructured":"Wang, E.K., Liang, Z., Chen, C.M., Kumari, S., Khan, M.K.: PoRX: a reputation incentive scheme for blockchain consensus of IIoT. Future Gener. Comput. Syst. 102, 140\u2013151 (2020)","journal-title":"Future Gener. Comput. Syst."},{"key":"5_CR15","unstructured":"Monero. https:\/\/www.getmonero.org\/get-started\/what-is-monero\/. Accessed 18 Nov 2020"},{"issue":"5","key":"5_CR16","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1109\/MNET.011.1900537","volume":"34","author":"MIS Assaqty","year":"2020","unstructured":"Assaqty, M.I.S., et al.: Private-blockchain-based industrial IoT for material and product tracking in smart manufacturing. IEEE Netw. 34(5), 91\u201397 (2020)","journal-title":"IEEE Netw."},{"key":"5_CR17","first-page":"1","volume-title":"Automata, Languages and Programming","author":"C Dwork","year":"2006","unstructured":"Dwork, C.: Differential privacy. In: Bugliesi, M., Preneel, B., Sassone, V., Wegener, I. (eds.) Automata, Languages and Programming, pp. 1\u201312. Springer, Heidelberg (2006)"},{"issue":"8","key":"5_CR18","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1109\/TKDE.2017.2697856","volume":"29","author":"T Zhu","year":"2017","unstructured":"Zhu, T., Li, G., Zhou, W., Philip, S.Y.: Differentially private data publishing and analysis: a survey. IEEE Trans. Knowl. Data Eng. 29(8), 1619\u20131638 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3\u20134","key":"5_CR19","first-page":"211","volume":"9","author":"C Dwork","year":"2014","unstructured":"Dwork, C., Roth, A., et al.: The algorithmic foundations of differential privacy. Found. Trends Theor. Comput. Sci. 9(3\u20134), 211\u2013407 (2014)","journal-title":"Found. Trends Theor. Comput. Sci."},{"key":"5_CR20","unstructured":"Hyperledger caliper. https:\/\/www.hyperledger.org\/use\/caliper. Accessed 26 Mar 2021"},{"key":"5_CR21","doi-asserted-by":"publisher","unstructured":"Xiao, X., Bender, G., Hay, M., Gehrke, J.: iReduct: differential privacy with reduced relative errors. In: Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, pp. 229\u2013240. Association for Computing Machinery, New York (2011). https:\/\/doi.org\/10.1145\/1989323.1989348","DOI":"10.1145\/1989323.1989348"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Broadband Communications, Networks, and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-93479-8_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T19:03:17Z","timestamp":1641063797000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-93479-8_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030934781","9783030934798"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-93479-8_5","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"value":"1867-8211","type":"print"},{"value":"1867-822X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"1 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BROADNETS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Broadband Communications, Networks and 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":"28 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"broadnets2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/broadnets.eai-conferences.org\/2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-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":"49","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":"24","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":"49% - 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":"1.5","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)"}}]}}