Non-cryptographic security to data: Distortion based anonymization techniques

K. S. Banu, Dr. V. Santhi, Dr. B. K. Tripathy
{"title":"Non-cryptographic security to data: Distortion based anonymization techniques","authors":"K. S. Banu, Dr. V. Santhi, Dr. B. K. Tripathy","doi":"10.1109/ICAET.2014.7105226","DOIUrl":null,"url":null,"abstract":"Ensuring privacy to sensitive data is becoming an important criterion in the data access policies of governments and corporations. Providing security to data using non-cryptographic based techniques has been in use for a long time. They are used to provide security to Health data, finance data and the like. Data are distorted using various approaches to hide sensitive information and provide privacy. A whole line of methods from statistical disclosure control to distortion based techniques are in use. This paper discusses the strengths and drawbacks of a particular type of distortion approach, Data Anonymization.","PeriodicalId":120881,"journal":{"name":"2014 International Conference on Advances in Engineering and Technology (ICAET)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Advances in Engineering and Technology (ICAET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAET.2014.7105226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Ensuring privacy to sensitive data is becoming an important criterion in the data access policies of governments and corporations. Providing security to data using non-cryptographic based techniques has been in use for a long time. They are used to provide security to Health data, finance data and the like. Data are distorted using various approaches to hide sensitive information and provide privacy. A whole line of methods from statistical disclosure control to distortion based techniques are in use. This paper discusses the strengths and drawbacks of a particular type of distortion approach, Data Anonymization.
数据的非加密安全性:基于失真的匿名化技术
确保敏感数据的隐私正成为政府和企业数据访问政策的重要标准。使用基于非加密的技术为数据提供安全性已经使用了很长时间。它们被用来为健康数据、财务数据等提供安全保障。数据被扭曲使用各种方法来隐藏敏感信息和提供隐私。从统计披露控制到基于失真的技术,一整套方法都在使用中。本文讨论了一种特殊类型的失真方法,数据匿名化的优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信