个人资料的非个人化处理方法

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

IT-Information Technology Pub Date : 2021-06-09 DOI:10.17587/IT.27.314-321

E. Saksonov, Moscow Russian Federation Informatics

{"title":"个人资料的非个人化处理方法","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":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2021-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"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\":null,\"pages\":null},\"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}","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

摘要

提出了一种对大量个人数据进行去人格化处理的方法。该方法保留了数据的结构和语义，允许您增加非个性化数据的安全性，并在没有事先非个性化的情况下处理个人数据。建立了该方法的数学模型。得到了非个性化数据的安全性估计。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Method of Depersonalization of Personal Data

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IT-Information Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

3.80

自引率

0.00%

发文量