保护在线社交网络中多个用户之间的共享数据

D. Ganesh, V. Ramaprasad
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引用次数: 3

摘要

在线社交网络现在是用户联系、表达自己和分享内容的一种流行方式。当今在线社交网络的用户经常发布个人资料,包括地理位置、兴趣和就读学校等属性。这些概要信息在站点上用作对用户进行分组、共享内容和建议可能从交互中受益的用户的基础。在线社交网络实际上已经成为全球数十亿普通用户的门户,比如facebook、Twitter Linked In。这些osn为关系和信息共享提供了有吸引力的手段,但它也导致了许多用户不知道的问题。假设在线社交网络允许用户限制对共享数据的访问,目前还没有有效的机制来对大量用户关联的机密数据提供隐私保护。为了共享个人资料、关系和内容,我们的分析提出了一种保护与社交网络中多个用户相关的共享数据的方法。捕获了多方授权用户需求的本质,并提出了多方授权策略的规范方案和实施机制。我们的访问控制模型允许我们扩展传统机制的特性来执行新模型的分析和设计等各种任务,比较研究提供了可用性研究和先前存在的问题以及我们方法的优势。
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Protection of shared data among multiple users for online social networks
Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today's online social networks often post a profile, consisting of attributes like geographic location, interests, and schools attended. Such profile information is used on the sites as a basis for grouping users, for sharing content, and for suggesting users who may benefit from interaction. Online social networks have increased become a de facto portal for billions of regular users like Face book Twitter Linked In world wide. These OSNs offer attractive means for Relations and sharing of information, but it also causes number of problems which are private to users. Suppose online social network allow users to restrict access to share data, at present there is no effective mechanism to provide privacy concerns over confidential data associated with many number of users. To share the profile, relation and content our analysis presents an approach to protect the shared data associated with multiple users in social networks. To capture the essence of multiparty authorization users requirement, along with a multiparty policy specification scheme & enforcement mechanism. Our access control model allows us to Extend the features of traditional mechanisms to perform various tasks such as analysis and design on new model, Comparative study provide usability study and problems in previous and advantages of our method.
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