{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T04:28:19Z","timestamp":1790310499262,"version":"4.1.0"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030793814","type":"print"},{"value":"9783030793821","type":"electronic"}],"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.springernature.com\/gp\/researchers\/text-and-data-mining"},{"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.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-79382-1_3","type":"book-chapter","created":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T05:06:33Z","timestamp":1624424793000},"page":"37-53","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["P-SGD: A Stochastic Gradient Descent Solution for Privacy-Preserving During Protection Transitions"],"prefix":"10.1007","author":[{"given":"Karam","family":"Bou-Chaaya","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Chbeir","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mahmoud","family":"Barhamgi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Philippe","family":"Arnould","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Djamal","family":"Benslimane","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,6,24]]},"reference":[{"key":"3_CR1","first-page":"161","volume":"20","author":"L Bottou","year":"2007","unstructured":"Bottou, L., Bousquet, O.: The tradeoffs of large scale learning. Adv. Neural Inf. Process. Syst. 20, 161\u2013168 (2007)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Bou-Chaaya, K., et al.: $$\\delta $$-Risk: Toward Context-aware Multi-objective Privacy Management in Connected Environments. ACM Trans. Internet Technol. 21(2), 1\u201331 (2021)","DOI":"10.1145\/3418499"},{"key":"3_CR3","first-page":"337","volume":"8","author":"J Cao","year":"2010","unstructured":"Cao, J., et al.: Castle: continuously anonymizing data streams. IEEE Trans. Dependable Secure Comput. 8, 337\u2013352 (2010)","journal-title":"IEEE Trans. Dependable Secure Comput."},{"key":"3_CR4","doi-asserted-by":"publisher","first-page":"1096","DOI":"10.1016\/j.future.2019.07.011","volume":"101","author":"KB Chaaya","year":"2019","unstructured":"Chaaya, K.B., Barhamgi, M., Chbeir, R., Arnould, P., Benslimane, D.: Context-aware system for dynamic privacy risk inference: application to smart IoT environments. Future Gener. Comput. Syst. 101, 1096\u20131111 (2019)","journal-title":"Future Gener. Comput. Syst."},{"key":"3_CR5","doi-asserted-by":"publisher","first-page":"101570","DOI":"10.1016\/j.cose.2019.101570","volume":"87","author":"M Chamikara","year":"2019","unstructured":"Chamikara, M., et al.: An efficient and scalable privacy preserving algorithm for big data and data streams. Comput. Secur. 87, 101570 (2019)","journal-title":"Comput. Secur."},{"key":"3_CR6","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.: Balancing trajectory privacy and data utility using a personalized anonymization model. J. Netw. Comput. Appl. 38, 125\u2013134 (2014)","journal-title":"J. Netw. Comput. Appl."},{"key":"3_CR7","doi-asserted-by":"publisher","first-page":"101470","DOI":"10.1016\/j.cose.2019.02.006","volume":"87","author":"M Gheisari","year":"2019","unstructured":"Gheisari, M., et al.: A context-aware privacy-preserving method for IoT-based smart city using software defined networking. Comput. Secur. 87, 101470 (2019)","journal-title":"Comput. Secur."},{"key":"3_CR8","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1109\/TKDE.2009.153","volume":"22","author":"S Han","year":"2010","unstructured":"Han, S., et al.: Privacy-preserving gradient-descent methods. IEEE Trans. Knowl. Data Eng. 22, 884\u2013899 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"3_CR9","doi-asserted-by":"publisher","first-page":"1214","DOI":"10.1016\/j.knosys.2011.05.011","volume":"24","author":"MZ Islam","year":"2011","unstructured":"Islam, M.Z., Brankovic, L.: Privacy preserving data mining: a noise addition framework using a novel clustering technique. Knowl.-Based Syst. 24, 1214\u20131223 (2011)","journal-title":"Knowl.-Based Syst."},{"key":"3_CR10","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.knosys.2015.11.007","volume":"94","author":"EG Komishani","year":"2016","unstructured":"Komishani, E.G., Abadi, M., Deldar, F.: PPTD: preserving personalized privacy in trajectory data publishing by sensitive attribute generalization and trajectory local suppression. Knowl.-Based Syst. 94, 43\u201359 (2016)","journal-title":"Knowl.-Based Syst."},{"key":"3_CR11","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1007\/s11280-011-0114-8","volume":"14","author":"M Li","year":"2011","unstructured":"Li, M., Sun, X., Wang, H., Zhang, Y., Zhang, J.: Privacy-aware access control with trust management in web service. World Wide Web 14, 407\u2013430 (2011). https:\/\/doi.org\/10.1007\/s11280-011-0114-8","journal-title":"World Wide Web"},{"issue":"1","key":"3_CR12","doi-asserted-by":"publisher","first-page":"3-es","DOI":"10.1145\/1217299.1217302","volume":"1","author":"A Machanavajjhala","year":"2007","unstructured":"Machanavajjhala, A., Kifer, D., Gehrke, J., Venkitasubramaniam, M.: l-diversity: privacy beyond k-anonymity. ACM Trans. Knowl. Discov. Data (TKDD) 1(1), 3-es (2007)","journal-title":"ACM Trans. Knowl. Discov. Data (TKDD)"},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"de Matos, E., et al.: Providing context-aware security for IoT environments through context sharing feature. In: TrustCom\/BigDataSE, pp. 1711\u20131715. IEEE (2018)","DOI":"10.1109\/TrustCom\/BigDataSE.2018.00257"},{"issue":"6","key":"3_CR14","doi-asserted-by":"publisher","first-page":"2853","DOI":"10.1007\/s11280-018-0620-z","volume":"22","author":"X Meng","year":"2018","unstructured":"Meng, X., et al.: Towards privacy preserving social recommendation under personalized privacy settings. World Wide Web 22(6), 2853\u20132881 (2018). https:\/\/doi.org\/10.1007\/s11280-018-0620-z","journal-title":"World Wide Web"},{"key":"3_CR15","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1007\/978-3-030-21297-1_17","volume-title":"Information Systems Engineering in Responsible Information Systems","author":"J Michael","year":"2019","unstructured":"Michael, J., Koschmider, A., Mannhardt, F., Baracaldo, N., Rumpe, B.: User-centered and privacy-driven process mining system design for IoT. In: Cappiello, C., Ruiz, M. (eds.) CAiSE 2019. LNBIP, vol. 350, pp. 194\u2013206. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-21297-1_17"},{"key":"3_CR16","doi-asserted-by":"crossref","unstructured":"Pingley, A., Yu, W., Zhang, N., Fu, X., Zhao, W.: Cap: a context-aware privacy protection system for location-based services. In: 2009 29th IEEE International Conference on Distributed Computing Systems, pp. 49\u201357. IEEE (2009)","DOI":"10.1109\/ICDCS.2009.62"},{"key":"3_CR17","doi-asserted-by":"publisher","unstructured":"Qiu, G., et al.: Mobile semantic-aware trajectory for personalized location privacy preservation. IEEE IoT J. (2020). https:\/\/doi.org\/10.1109\/JIOT.2020.3016466","DOI":"10.1109\/JIOT.2020.3016466"},{"issue":"9","key":"3_CR18","doi-asserted-by":"publisher","first-page":"1770","DOI":"10.1109\/TKDE.2018.2805356","volume":"30","author":"H Shin","year":"2018","unstructured":"Shin, H., Kim, S., Shin, J., Xiao, X.: Privacy enhanced matrix factorization for recommendation with local differential privacy. IEEE Trans. Knowl. Data Eng. 30(9), 1770\u20131782 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"3_CR19","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1142\/S0218488502001648","volume":"10","author":"L Sweeney","year":"2002","unstructured":"Sweeney, L.: k-anonymity: a model for protecting privacy. Int. J. Uncertainty, Fuzziness Knowl.-Based Syst. 10, 557\u2013570 (2002)","journal-title":"Int. J. Uncertainty, Fuzziness Knowl.-Based Syst."},{"key":"3_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1007\/978-3-030-41702-4_15","volume-title":"Information Security Theory and Practice","author":"T Sylla","year":"2020","unstructured":"Sylla, T., Chalouf, M.A., Krief, F., Samak\u00e9, K.: Towards a context-aware security and privacy as a service in the internet of things. In: Laurent, M., Giannetsos, T. (eds.) WISTP 2019. LNCS, vol. 12024, pp. 240\u2013252. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-41702-4_15"},{"key":"3_CR21","unstructured":"Vollmer, N.: Table of contents EU General Data Protection Regulation (2018)"},{"key":"3_CR22","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/j.ins.2019.07.031","volume":"527","author":"DH Vu","year":"2020","unstructured":"Vu, D.H., et al.: An efficient approach for secure multi-party computation without authenticated channel. Inf. Sci. 527, 356\u2013368 (2020)","journal-title":"Inf. Sci."},{"issue":"3","key":"3_CR23","first-page":"1","volume":"11","author":"L Wang","year":"2017","unstructured":"Wang, L., Yu, Z., Guo, B., Ku, T., Yi, F.: Moving destination prediction using sparse dataset: a mobility gradient descent approach. ACM Trans. Knowl. Discov. Data (TKDD) 11(3), 1\u201333 (2017)","journal-title":"ACM Trans. Knowl. Discov. Data (TKDD)"},{"key":"3_CR24","doi-asserted-by":"publisher","first-page":"4231","DOI":"10.1109\/TII.2019.2948068","volume":"16","author":"J Xiong","year":"2019","unstructured":"Xiong, J., et al.: A personalized privacy protection framework for mobile crowd sensing in IoT. IEEE Trans. Industr. Inf. 16, 4231\u20134241 (2019)","journal-title":"IEEE Trans. Industr. Inf."}],"container-title":["Lecture Notes in Computer Science","Advanced Information Systems Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-79382-1_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T00:08:14Z","timestamp":1782173294000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-79382-1_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030793814","9783030793821"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-79382-1_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"24 June 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CAiSE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Melbourne, VIC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"33","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caise2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/caise21.org\/","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33","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":"0","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":"0% - 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":"6","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)"}},{"value":"In addition, 18 contributions were accepted for the CAiSE 2021 Forum, and 15 papers from the Workshops. The conference was held online due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}