NeTS: Small: Exploiting Social Networks to Build Trustworthy Distributed Systems

该项目旨在开发一种名为SocialLite的基板，它可以使用在线社交网络数据来获取可靠的身份和信任信息。这项工作包括三个步骤：1)识别在线社交网络中嵌入的丰富多样的身份和信任信息；2)设计算法和软件，在不侵犯用户的情况下，高效、稳健地将这些信息抽象为一组灵活的API函数？来自大型在线社交网络的隐私；3)通过实现一些示例应用程序来评估API的有用性。SociaLite API可以促进健壮可信的分布式系统的开发。从该项目开发的原型将向公众发布，以吸引更广泛的开发人员社区使用该API来构建值得信赖的应用程序。该项目开发的算法可以促进研究界对信任度量计算和基于社会信任的计算的效用的理解。欲了解更多信息，请访问项目网站http://www.cs.duke.edu/nds/wiki/sociallite。

This project aims to develop a substrate called SocialLite that can use online social network data to obtain reliable identity and trust information. This work involves three steps: 1) identifying the rich variety of identity and trust information embedded in online social networks; 2) designing algorithms and software to efficiently and robustly abstract this information as a set of flexible API functions without violating a user?s privacy from large online social networks; and 3) evaluating the usefulness of the API by implementing a few sample applications. The SociaLite API can facilitate the development of robust and trustworthy distributed systems. Prototypes developed from this project will be released to the public to engage a broader developer community to use this API to build trustworthy applications. The algorithms developed in this project can advance the research community's understanding on trust metric computation and the utility of social-trust based computing. For further information, see the project website at http://www.cs.duke.edu/nds/wiki/sociallite.