{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:01:23Z","timestamp":1781107283274,"version":"3.54.1"},"reference-count":24,"publisher":"IGI Global Scientific Publishing","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,4]]},"abstract":"<jats:p>Privacy preserving data publishing is one of the most demanding research areas in the recent few years. There are more than billions of devices capable to collect the data from various sources. To preserve the privacy while publishing data, algorithms for equivalence class generation and scalable anonymization with k-anonymity and l-diversity using MapReduce programming paradigm are proposed in this article. Equivalence class generation algorithms divide the datasets into equivalence classes for Scalable k-Anonymity (SKA) and Scalable l-Diversity (SLD) separately. These equivalence classes are finally fed to the anonymization algorithm that calculates the Gross Cost Penalty (GCP) for the complete dataset. The value of GCP gives information loss in input dataset after anonymization.<\/jats:p>","DOI":"10.4018\/ijitwe.2019040102","type":"journal-article","created":{"date-parts":[[2019,1,30]],"date-time":"2019-01-30T14:25:03Z","timestamp":1548858303000},"page":"27-40","source":"Crossref","is-referenced-by-count":3,"title":["Scalable l-Diversity"],"prefix":"10.4018","volume":"14","author":[{"given":"Udai Pratap","family":"Rao","sequence":"first","affiliation":[{"name":"Computer Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brijesh B.","family":"Mehta","sequence":"additional","affiliation":[{"name":"Computer Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikhil","family":"Kumar","sequence":"additional","affiliation":[{"name":"Computer Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJITWE.2019040102-0","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1145\/335191.335438","article-title":"Privacy-preserving data mining.","author":"R.Agrawal","year":"2000","journal-title":"Proceedings of ACM SIGMOD International Conference on Management of Data"},{"key":"IJITWE.2019040102-1","author":"R.Cattral","year":"2007"},{"key":"IJITWE.2019040102-2","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1007\/978-3-540-30576-7_20","article-title":"Toward privacy in public databases.","author":"S.Chawla","year":"2005","journal-title":"Proceedings of the Second International Conference on Theory of Cryptography, TCC\u201905"},{"key":"IJITWE.2019040102-3","first-page":"120","article-title":"On privacy-preserving histograms.","author":"S.Chawla","year":"2005","journal-title":"Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005)"},{"key":"IJITWE.2019040102-4","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"IJITWE.2019040102-5","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"key":"IJITWE.2019040102-6","first-page":"18","article-title":"Ask a better question, get a better answer a new approach to private data analysis","author":"C.Dwork","year":"2007","journal-title":"Database Theory"},{"key":"IJITWE.2019040102-7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"IJITWE.2019040102-8","first-page":"1","article-title":"Mondrian multidimensional k-anonymity.","author":"K.LeFevre","year":"2006","journal-title":"Proceedings of International Conference on Data Engineering"},{"key":"IJITWE.2019040102-9","first-page":"106","article-title":"t-closeness: Privacy beyond k-anonymity and l-diversity.","author":"N.Li","year":"2007","journal-title":"Proceedings of International Conference on Data Engineering"},{"key":"IJITWE.2019040102-10","first-page":"13","article-title":"l-diversity: privacy beyond k-anonymity.","author":"A.Machanavajjhala","year":"2006","journal-title":"Proceedings of the 22nd International Conference on Data Engineering"},{"key":"IJITWE.2019040102-11","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217302"},{"key":"IJITWE.2019040102-12","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.02.020"},{"key":"IJITWE.2019040102-13","doi-asserted-by":"publisher","DOI":"10.1049\/iet-sen.2016.0264"},{"key":"IJITWE.2019040102-14","doi-asserted-by":"publisher","DOI":"10.3850\/978-981-11-0783-2_390"},{"key":"IJITWE.2019040102-15","doi-asserted-by":"publisher","DOI":"10.1145\/1247480.1247554"},{"key":"IJITWE.2019040102-16","first-page":"1417","article-title":"Multi-relational k-anonymity.","author":"M. 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