PESAP:一个隐私增强的社交应用平台

Tom Reynaert, Willem De Groef, Dominique Devriese, Lieven Desmet, F. Piessens
{"title":"PESAP:一个隐私增强的社交应用平台","authors":"Tom Reynaert, Willem De Groef, Dominique Devriese, Lieven Desmet, F. Piessens","doi":"10.1109/SocialCom-PASSAT.2012.39","DOIUrl":null,"url":null,"abstract":"Nowadays, social networking sites provide third party application developers with means to access their social graph, by providing a social application platform. Through their users, these developers acquire a significant set of personal information from the social graph. The current protection mechanisms, such as privacy policies and access control mechanisms fall short on protecting the privacy of the users. In this paper we present a framework for a privacy enhanced social application platform, called PESAP, that technically enforces the protection of the personal information of a user, when interacting with social applications. The framework is based on two pillars: anonymization of the social graph and secure information flow inside the browser. PESAP is targeted to be as compatible as possible with the current state-of-the-art design of social application platforms, while technically enforcing the protection of user privacy. We evaluate this compliance, based on a classification of applications in different categories.","PeriodicalId":129526,"journal":{"name":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"PESAP: A Privacy Enhanced Social Application Platform\",\"authors\":\"Tom Reynaert, Willem De Groef, Dominique Devriese, Lieven Desmet, F. Piessens\",\"doi\":\"10.1109/SocialCom-PASSAT.2012.39\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, social networking sites provide third party application developers with means to access their social graph, by providing a social application platform. Through their users, these developers acquire a significant set of personal information from the social graph. The current protection mechanisms, such as privacy policies and access control mechanisms fall short on protecting the privacy of the users. In this paper we present a framework for a privacy enhanced social application platform, called PESAP, that technically enforces the protection of the personal information of a user, when interacting with social applications. The framework is based on two pillars: anonymization of the social graph and secure information flow inside the browser. PESAP is targeted to be as compatible as possible with the current state-of-the-art design of social application platforms, while technically enforcing the protection of user privacy. We evaluate this compliance, based on a classification of applications in different categories.\",\"PeriodicalId\":129526,\"journal\":{\"name\":\"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SocialCom-PASSAT.2012.39\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SocialCom-PASSAT.2012.39","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

如今,社交网站通过提供社交应用平台,为第三方应用开发者提供了访问其社交图谱的途径。通过用户,这些开发者从社交图谱中获取了大量的个人信息。现有的隐私策略、访问控制等保护机制在保护用户隐私方面存在不足。在本文中,我们提出了一个隐私增强社交应用平台的框架,称为PESAP,该框架在技术上加强了与社交应用程序交互时对用户个人信息的保护。该框架基于两个支柱:社交图谱的匿名化和浏览器内的安全信息流。PESAP的目标是尽可能与当前最先进的社交应用平台设计兼容,同时在技术上强制保护用户隐私。我们根据不同类别的应用程序分类来评估这种遵从性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PESAP: A Privacy Enhanced Social Application Platform
Nowadays, social networking sites provide third party application developers with means to access their social graph, by providing a social application platform. Through their users, these developers acquire a significant set of personal information from the social graph. The current protection mechanisms, such as privacy policies and access control mechanisms fall short on protecting the privacy of the users. In this paper we present a framework for a privacy enhanced social application platform, called PESAP, that technically enforces the protection of the personal information of a user, when interacting with social applications. The framework is based on two pillars: anonymization of the social graph and secure information flow inside the browser. PESAP is targeted to be as compatible as possible with the current state-of-the-art design of social application platforms, while technically enforcing the protection of user privacy. We evaluate this compliance, based on a classification of applications in different categories.
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
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:604180095
Book学术官方微信