TWC: Small: Virtual Private Social Networks

TWC：小型：虚拟私人社交网络

• 批准号: 1318415
• 负责人: Steven Bellovin
• 金额: $ 49.83万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1318415&HistoricalAwards=false
• 关键词: TWC; Small; Virtual; Private; Social

Social networking services have been transformed from one-stop websites, to social interaction platforms deeply integrated with third-party websites, applications, and even operating systems. As prominent examples, social plugins such as Facebook's Like and Google's +1 buttons enable websites to offer personalized content and allow their visitors to seamlessly share and interact with their social circles, while Facebook and Twitter support is already integrated in iOS 6. These social features offer multifaceted benefits to both users and content providers, and have driven their widespread adoption across the web and the mobile application ecosystem. However, this increasing integration has raised concerns about the implications of these social features to user privacy, as they enable social networking services to track a growing part of their members' activity, including their browsing histories, locations, and communications.The research in this project seeks to address these privacy concerns by exploring a novel design for privacy-preserving virtual private social networks, which fulfills two seemingly contradicting requirements: it protects user privacy by minimizing the transmission of user-identifying information to the social networking platform, while preserving all existing functionality by delivering the same personalized content. The main insight of this approach is to shift content personalization from a server-side to a client-side process, by decoupling the retrieval of potentially sensitive social information from the presentation of personalized content that uses that information. The PIs are developing a personalized "information overlay" that prefetches information from a user's social circle independently of third-party accesses, and keeps this information consistent across the user's devices. The outcomes of this research effort are expected to significantly improve the privacy of members of social networking services, without degrading the current personalization experience to which they have grown accustomed.

社交网络服务已从一站式网站转变为与第三方网站，应用程序甚至操作系统深入集成的社交互动平台。 As prominent examples, social plugins such as Facebook's Like and Google's +1 buttons enable websites to offer personalized content and allow their visitors to seamlessly share and interact with their social circles, while Facebook and Twitter support is already integrated in iOS 6. These social features offer multifaceted benefits to both users and content providers, and have driven their widespread adoption across the web and the mobile application ecosystem.但是，这种越来越多的整合引起了人们对这些社会特征对用户隐私的影响的关注，因为它们能够跟踪社交网络服务的成员活动中不断增长的一部分活动，包括浏览历史记录，位置，位置和沟通。该项目的研究试图通过探索企业来探索私密性的私人社交网络，以解决这些新颖的私人社交网络，以解决这些隐私问题，从而使虚拟的私人社交网络探索，从而探索了私人私人网络，并构成了私人的范围，这是一个新颖的私人社交网络，并构成了私人网络的发展：将信息识别信息到社交网络平台，同时通过提供相同的个性化内容来保留所有现有功能。这种方法的主要洞察力是通过将潜在敏感的社交信息从使用该信息的个性化内容的介绍中解除，将内容个性化从服务器端转换为客户端过程。 PI正在开发一个个性化的“信息覆盖”，该“信息覆盖”可独立于第三方访问权限从用户的社交圈中进行预取，并使此信息在用户的设备中保持一致。预计这项研究工作的结果将显着改善社交网络服务成员的隐私，而不会降低他们习惯的当前个性化经验。