E. Saksonov, Moscow Russian Federation Informatics
{"title":"Method of Depersonalization of Personal Data","authors":"E. Saksonov, Moscow Russian Federation Informatics","doi":"10.17587/IT.27.314-321","DOIUrl":null,"url":null,"abstract":"A method of depersonalization of large amounts of personal data is proposed. The method preserves the structure and semantics of data, allows you to increase the security of depersonalized data and process personal data without prior depersonalization. A mathematical model of the method is developed. Estimates of security depersonalized data are obtained.","PeriodicalId":43953,"journal":{"name":"IT-Information Technology","volume":"1 1","pages":"314-321"},"PeriodicalIF":1.0000,"publicationDate":"2021-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IT-Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17587/IT.27.314-321","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
A method of depersonalization of large amounts of personal data is proposed. The method preserves the structure and semantics of data, allows you to increase the security of depersonalized data and process personal data without prior depersonalization. A mathematical model of the method is developed. Estimates of security depersonalized data are obtained.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
