InfoRest：限制在线社交网络应用程序的隐私泄露
InfoRest: Restricting Privacy Leakage to Online Social Network App
摘要：
近年来，在线社交网络（OSN）作为社交交互服务在全球互联网用户中变得非常流行。OSN促进了第三方应用程序（TPA），为用户提供了许多额外的功能。在提供扩展服务的同时，TPA访问用户数据，这将引起对用户隐私的严重关注。这是由于OSN缺乏用户数据保护机制，并且目前的OSN平台都没有为用户私人数据提供令人满意的保护机制。在本文中，我们提出了一个访问控制框架称为InfoRest限制用户数据到TPA在OSN中，考虑用户的隐私偏好和属性泛化。此外，我们提出了一个基于关系的访问控制（ReBAC）策略模型，并使用谓词演算来表示访问条件。所提出的策略模型的可用性和正确性证明与使用答案集编程开发的逻辑模型的帮助。
英文摘要：
In recent years, Online Social Networks (OSNs) have become immensely popular as social interaction services among worldwide Internet users. OSNs facilitate Third-party applications (TPAs) which provide many additional functionalities to users. While providing the extended services TPAs access the users data which would raise serious concerns to user privacy. This is due to the lack of user data protection mechanisms by OSN and none of the present OSN platforms offers satisfactory protection mechanisms to users private data. In this paper, we propose an access control framework called InfoRest to restrict user data to TPA in OSN, considering users privacy preferences and attribute generalization. Further, we propose a relation based access control (ReBAC) policy model and use predicate calculus to represent access conditions. The usability and correctness of the proposed policy model are demonstrated with the help of a logical model developed using answer set programming.
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