已发布视图的概率隐私分析

Proceedings of the ACM Workshop on Privacy in the Electronic Society. ACM Workshop on Privacy in the Electronic Society Pub Date : 2006-10-30 DOI:10.1145/1179601.1179616

Wendy Hui Wang, L. Lakshmanan

{"title":"已发布视图的概率隐私分析","authors":"Wendy Hui Wang, L. Lakshmanan","doi":"10.1145/1179601.1179616","DOIUrl":null,"url":null,"abstract":"Among techniques for ensuring privacy in data publishing, k-anonymity and publishing of views on private data are quite popular. In this paper, we consider data publishing by views and develop a probability framework for the analysis of privacy breach. We propose two attack models and derive the probability of privacy breach for each model.","PeriodicalId":74537,"journal":{"name":"Proceedings of the ACM Workshop on Privacy in the Electronic Society. ACM Workshop on Privacy in the Electronic Society","volume":"46 1","pages":"81-84"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Probabilistic privacy analysis of published views\",\"authors\":\"Wendy Hui Wang, L. Lakshmanan\",\"doi\":\"10.1145/1179601.1179616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Among techniques for ensuring privacy in data publishing, k-anonymity and publishing of views on private data are quite popular. In this paper, we consider data publishing by views and develop a probability framework for the analysis of privacy breach. We propose two attack models and derive the probability of privacy breach for each model.\",\"PeriodicalId\":74537,\"journal\":{\"name\":\"Proceedings of the ACM Workshop on Privacy in the Electronic Society. ACM Workshop on Privacy in the Electronic Society\",\"volume\":\"46 1\",\"pages\":\"81-84\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ACM Workshop on Privacy in the Electronic Society. ACM Workshop on Privacy in the Electronic Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1179601.1179616\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ACM Workshop on Privacy in the Electronic Society. ACM Workshop on Privacy in the Electronic Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1179601.1179616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

在确保数据发布隐私的技术中，k-匿名和发布对私有数据的看法是非常受欢迎的。在本文中，我们考虑了数据发布的观点，并建立了一个概率框架来分析隐私泄露。我们提出了两种攻击模型，并推导了每种模型的隐私泄露概率。

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

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Probabilistic privacy analysis of published views

Among techniques for ensuring privacy in data publishing, k-anonymity and publishing of views on private data are quite popular. In this paper, we consider data publishing by views and develop a probability framework for the analysis of privacy breach. We propose two attack models and derive the probability of privacy breach for each model.

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

Proceedings of the ACM Workshop on Privacy in the Electronic Society. ACM Workshop on Privacy in the Electronic Society

自引率

0.00%

发文量

期刊最新文献

A Study of Users' Privacy Preferences for Data Sharing on Symptoms-Tracking/Health App. Preserving Genomic Privacy via Selective Sharing. For human eyes only: security and usability evaluation Secure communication over diverse transports: [short paper] A machine learning solution to assess privacy policy completeness: (short paper)