{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T14:29:50Z","timestamp":1781101790403,"version":"3.54.1"},"reference-count":18,"publisher":"IGI Global Scientific Publishing","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,10,1]]},"abstract":"<p>This paper examines privacy protection in a statistical database from the perspective of an intruder using learning theory to discover private information. With the rapid development of information technology, massive data collection is relatively easier and cheaper than ever before. The challenge is how to provide database users with reliable and useful data while protecting the privacy of the confidential information. This paper discusses how to prevent disclosing the identity of unique records in a statistical database. The authors\u2019 research extends previous work and shows how much protection is necessary to prevent an adversary from discovering confidential data with high probability at small error.<\/p>","DOI":"10.4018\/jdm.2010100106","type":"journal-article","created":{"date-parts":[[2011,2,15]],"date-time":"2011-02-15T15:24:23Z","timestamp":1297783463000},"page":"111-123","source":"Crossref","is-referenced-by-count":0,"title":["Disclosure Control of Confidential Data by Applying Pac Learning Theory"],"prefix":"10.4018","volume":"21","author":[{"given":"Ling","family":"He","sequence":"first","affiliation":[{"name":"Saginaw Valley State University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haldun","family":"Aytug","sequence":"additional","affiliation":[{"name":"University of Florida, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gary J.","family":"Koehler","sequence":"additional","affiliation":[{"name":"University of Florida, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jdm.2010100106-0","doi-asserted-by":"publisher","DOI":"10.1145\/76894.76895"},{"key":"jdm.2010100106-1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116829"},{"key":"jdm.2010100106-2","unstructured":"Canfora, G., & Cavallo, B. (2009). A Bayesian model for disclosure control in statistical databases. Data Knowledge Engineering. doi: 10.1016\/j.datak. 2009.06.006"},{"key":"jdm.2010100106-3","doi-asserted-by":"crossref","unstructured":"Dinur, I., & Nissim, K. (2003). Revealing information while preserving privacy. In Proceedings of the Twenty-Second ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (pp. 202-210).","DOI":"10.1145\/773153.773173"},{"key":"jdm.2010100106-4","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.48.6.749.193"},{"key":"jdm.2010100106-5","doi-asserted-by":"publisher","DOI":"10.1007\/BF01300374"},{"key":"jdm.2010100106-6","doi-asserted-by":"crossref","unstructured":"Kearns, M. (1993). Efficient noise-tolerant learning from statistical queries. In Proceedings of the 25th Annual ACM Symposium on Theory of Computing (pp. 392-401).","DOI":"10.1145\/167088.167200"},{"key":"jdm.2010100106-7","doi-asserted-by":"publisher","DOI":"10.1137\/0222052"},{"key":"jdm.2010100106-8","unstructured":"M\u00e1s, M. (2000). Statistical data protection techniques. Retrieved from http:\/\/www.eustat.es\/document\/datos\/ct_02_i.pdf"},{"key":"jdm.2010100106-9","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.41.9.1549"},{"key":"jdm.2010100106-10","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.45.10.1399"},{"key":"jdm.2010100106-11","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1050.0503"},{"issue":"1","key":"jdm.2010100106-12","first-page":"17","article-title":"Generating Sufficiency-based Non-Synthetic Perturbed Data.","volume":"1","author":"K.Muralidhar","year":"2008","journal-title":"Transactions on Data Privacy"},{"key":"jdm.2010100106-13","doi-asserted-by":"publisher","DOI":"10.1007\/11930242_15"},{"key":"jdm.2010100106-14","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1070.0407"},{"key":"jdm.2010100106-15","doi-asserted-by":"publisher","DOI":"10.1016\/0020-0190(95)00016-6"},{"key":"jdm.2010100106-16","doi-asserted-by":"publisher","DOI":"10.1145\/1968.1972"},{"key":"jdm.2010100106-17","author":"V.Vapnik","year":"1998","journal-title":"Statistical Learning Theory"}],"container-title":["Journal of Database Management"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=47422","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T15:38:45Z","timestamp":1654097925000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/jdm.2010100106"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2010,10,1]]},"references-count":18,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2010,10]]}},"URL":"https:\/\/doi.org\/10.4018\/jdm.2010100106","relation":{},"ISSN":["1063-8016","1533-8010"],"issn-type":[{"value":"1063-8016","type":"print"},{"value":"1533-8010","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,10,1]]}}}