{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T02:18:13Z","timestamp":1768875493217,"version":"3.49.0"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T00:00:00Z","timestamp":1637107200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T00:00:00Z","timestamp":1637107200000},"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":["Wireless Pers Commun"],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s11277-021-09376-1","type":"journal-article","created":{"date-parts":[[2021,11,17]],"date-time":"2021-11-17T12:09:48Z","timestamp":1637150988000},"page":"655-670","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Data Privacy Preservation and Trade-off Balance Between Privacy and Utility Using Deep Adaptive Clustering and Elliptic Curve Digital Signature Algorithm"],"prefix":"10.1007","volume":"124","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8265-7919","authenticated-orcid":false,"given":"N.","family":"Yuvaraj","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K.","family":"Praghash","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T.","family":"Karthikeyan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,11,17]]},"reference":[{"issue":"05","key":"9376_CR1","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1142\/S0218488502001648","volume":"10","author":"L Sweeney","year":"2002","unstructured":"Sweeney, L. (2002). k-anonymity: A model for protecting privacy. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10(05), 557\u2013570.","journal-title":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems"},{"issue":"1","key":"9376_CR2","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1186\/s12911-016-0293-4","volume":"16","author":"WY Lin","year":"2016","unstructured":"Lin, W. Y., Yang, D. C., & Wang, J. T. (2016). Privacy preserving data anonymization of spontaneous ADE reporting system dataset. BMC Medical Informatics and Decision Making, 16(1), 58.","journal-title":"BMC Medical Informatics and Decision Making"},{"issue":"11","key":"9376_CR3","doi-asserted-by":"publisher","first-page":"3098","DOI":"10.1109\/TKDE.2015.2435777","volume":"27","author":"J Soria-Comas","year":"2015","unstructured":"Soria-Comas, J., Domingo-Ferrer, J., S\u00e1nchez, D., & Martinez, S. (2015). t-closeness through microaggregation: Strict privacy with enhanced utility preservation. IEEE Transactions on Knowledge and Data Engineering, 27(11), 3098\u20133110.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"9376_CR4","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.procs.2012.09.050","volume":"12","author":"K Mivule","year":"2012","unstructured":"Mivule, K., Turner, C., & Ji, S. Y. (2012). Towards a differential privacy and utility preserving deep learning classifier. Procedia Computer Science, 12, 176\u2013181.","journal-title":"Procedia Computer Science"},{"key":"9376_CR5","unstructured":"Wong, R. C. W., Fu, A. W. C., Wang, K., & Pei, J. (2007). Minimality attack in privacy preserving data publishing. In Proceedings of the 33rd international conference on Very large data bases. VLDB Endowment, (pp. 543\u2013554)."},{"issue":"12","key":"9376_CR6","doi-asserted-by":"publisher","first-page":"1764","DOI":"10.1109\/TPDS.2009.26","volume":"20","author":"K Chen","year":"2009","unstructured":"Chen, K., & Liu, L. (2009). Privacy-preserving multiparty collaborative mining with geometric data perturbation. IEEE Transactions on Parallel and Distributed Systems, 20(12), 1764\u20131776.","journal-title":"IEEE Transactions on Parallel and Distributed Systems"},{"key":"9376_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jnca.2014.07.022","volume":"46","author":"I Polato","year":"2014","unstructured":"Polato, I., R\u00e9, R., Goldman, A., & Kon, F. (2014). A comprehensive view of Hadoop research\u2014A systematic literature review. Journal of Network and Computer Applications, 46, 1\u201325.","journal-title":"Journal of Network and Computer Applications"},{"key":"9376_CR8","unstructured":"Asikis, T., & Pournaras, E. (2017). Optimization of privacy-utility trade-offs under informational self-determination. arXiv preprint arXiv:1710.03186"},{"key":"9376_CR9","doi-asserted-by":"crossref","unstructured":"Joy, J., Gray, D., McGoldrick, C., & Gerla, M. (2018). K privacy: Towards improving privacy strength while preserving utility. Ad Hoc Networks.","DOI":"10.1016\/j.adhoc.2018.05.009"},{"key":"9376_CR10","unstructured":"Valdez, A. C., & Ziefle, M. (2018). The users\u2019 perspective on the privacy-utility trade-offs in health recommender systems. International Journal of Human-Computer Studies."},{"key":"9376_CR11","doi-asserted-by":"crossref","unstructured":"Majeed, A. (2018). Attribute-centric anonymization scheme for improving user privacy and utility of publishing e-health data. Journal of King Saud University-Computer and Information Sciences.","DOI":"10.1016\/j.jksuci.2018.03.014"},{"key":"9376_CR12","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.pisc.2015.11.013","volume":"7","author":"JCW Lin","year":"2016","unstructured":"Lin, J. C. W., Gan, W., Fournier-Viger, P., Yang, L., Liu, Q., Frnda, J., & Voznak, M. (2016). High utility-itemset mining and privacy-preserving utility mining. Perspectives in Science, 7, 74\u201380.","journal-title":"Perspectives in Science"},{"key":"9376_CR13","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.engappai.2016.07.003","volume":"55","author":"JCW Lin","year":"2016","unstructured":"Lin, J. C. W., Wu, T. Y., Fournier-Viger, P., Lin, G., Zhan, J., & Voznak, M. (2016). Fast algorithms for hiding sensitive high-utility itemsets in privacy-preserving utility mining. Engineering Applications of Artificial Intelligence, 55, 269\u2013284.","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"3","key":"9376_CR14","doi-asserted-by":"publisher","first-page":"1149","DOI":"10.1016\/j.eswa.2014.08.037","volume":"42","author":"U Yun","year":"2015","unstructured":"Yun, U., & Kim, J. (2015). A fast perturbation algorithm using tree structure for privacy preserving utility mining. Expert Systems with Applications, 42(3), 1149\u20131165.","journal-title":"Expert Systems with Applications"},{"key":"9376_CR15","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.jbi.2014.04.002","volume":"50","author":"AWC Fu","year":"2014","unstructured":"Fu, A. W. C., Wang, K., Wong, R. C. W., Wang, J., & Jiang, M. (2014). Small sum privacy and large sum utility in data publishing. Journal of biomedical informatics, 50, 20\u201331.","journal-title":"Journal of biomedical informatics"},{"key":"9376_CR16","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1016\/j.procs.2013.09.295","volume":"20","author":"K Mivule","year":"2013","unstructured":"Mivule, K., & Turner, C. (2013). A comparative analysis of data privacy and utility parameter adjustment, using deep learning classification as a gauge. Procedia Computer Science, 20, 414\u2013419.","journal-title":"Procedia Computer Science"},{"issue":"7","key":"9376_CR17","doi-asserted-by":"publisher","first-page":"4779","DOI":"10.1016\/j.eswa.2009.12.038","volume":"37","author":"JS Yeh","year":"2010","unstructured":"Yeh, J. S., & Hsu, P. C. (2010). HHUIF and MSICF: Novel algorithms for privacy preserving utility mining. Expert Systems with Applications, 37(7), 4779\u20134786.","journal-title":"Expert Systems with Applications"},{"key":"9376_CR18","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1016\/j.inffus.2018.02.008","volume":"45","author":"M Rodriguez-Garcia","year":"2019","unstructured":"Rodriguez-Garcia, M., Batet, M., & S\u00e1nchez, D. (2019). Utility-preserving privacy protection of nominal data sets via semantic rank swapping. Information Fusion, 45, 282\u2013295.","journal-title":"Information Fusion"},{"key":"9376_CR19","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.jnca.2013.03.010","volume":"38","author":"S Gao","year":"2014","unstructured":"Gao, S., Ma, J., Sun, C., & Li, X. (2014). Balancing trajectory privacy and data utility using a personalized anonymization model. Journal of Network and Computer Applications, 38, 125\u2013134.","journal-title":"Journal of Network and Computer Applications"},{"key":"9376_CR20","doi-asserted-by":"crossref","unstructured":"Kao, Y., & Cheng, K. (2006). An DAC-based clustering algorithm. In International Workshop on Deep Adaptive clustering and Swarm Intelligence. Springer, Berlin, Heidelberg, (pp. 340\u2013347).","DOI":"10.1007\/11839088_31"},{"key":"9376_CR21","unstructured":"Lichman, M. (2013). UCI deep learning repository, 2013. http:\/\/archive.ics.uci.edu\/ml. Accessed 28 Aug 2018."},{"key":"9376_CR22","doi-asserted-by":"crossref","unstructured":"Sweeney, L. (1998). Datafly: A system for providing anonymity in medical data. In Database Security XI. Springer, Boston, MA, (pp. 356\u2013381).","DOI":"10.1007\/978-0-387-35285-5_22"},{"key":"9376_CR23","doi-asserted-by":"crossref","unstructured":"LeFevre, K., DeWitt, D. J., & Ramakrishnan, R. (2005). Incognito: Efficient full-domain k-anonymity. In Proceedings of the 2005 ACM SIGMOD international conference on Management of data. ACM (pp. 49\u201360).","DOI":"10.1145\/1066157.1066164"},{"key":"9376_CR24","doi-asserted-by":"crossref","unstructured":"LeFevre, K., DeWitt, D. J., & Ramakrishnan, R. (2006). Mondrian multidimensional k-anonymity. In Data Engineering, 2006. ICDE\u201906. Proceedings of the 22nd International Conference on Data Engineering (pp. 25\u201325). IEEE.","DOI":"10.1109\/ICDE.2006.101"}],"container-title":["Wireless Personal Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-021-09376-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11277-021-09376-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-021-09376-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T09:55:01Z","timestamp":1650880501000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11277-021-09376-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,17]]},"references-count":24,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["9376"],"URL":"https:\/\/doi.org\/10.1007\/s11277-021-09376-1","relation":{},"ISSN":["0929-6212","1572-834X"],"issn-type":[{"value":"0929-6212","type":"print"},{"value":"1572-834X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,17]]},"assertion":[{"value":"7 November 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 November 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The author(s) have no conflicts of interest to declare.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}