NetSE: Small: Privacy-preserving Architectures for Social Networking Services

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。在线社交网络（OSNs）已经成为全球数百万人生活的中心。不幸的是，现有的osn将用户数据的责任交给了单一的管理实体，并且天生就容易违反用户规范。隐私。这些敏感的用户数据为黑客创造了一个诱人的目标，并可能被内部管理员滥用。这项工作认为，相对于占主导地位的OSN架构，更分散的替代方案可以在功能和隐私之间提供更好的平衡。通过赋予OSN参与者对其个人数据的完全所有权和控制权，包括控制允许哪些机器存储信息以及允许谁访问信息，分散式OSN架构具有降低大规模隐私泄露风险的潜力，同时提供与集中式方案竞争的OSN功能，效率和可用性。这项工作将深入了解在osn -服务架构中隐私和功能之间的根本紧张关系。基于这些见解的方法的实现和评估将有助于更好地理解分散式OSN体系结构所支持的特性、效率和可用性。这项工作将通过发展保护隐私的方法和收集位置数据的基础设施，使科学探究广泛的社会现象成为可能。这项工作还将加强计算机科学与校园倡议之间的联系，通过杜克大学智能之家整合本科教育和研究。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Online social networks (OSNs) have become central to the lives of millions of people worldwide. Unfortunately, existing OSNs cede responsibility for user data to a single administrative entity, and are inherently prone to violations of usersʼ privacy. This sensitive user data creates an attractive target for hackers and can be abused by internal administrators. This work argues that more decentralized alternatives to the dominant OSN architecture can provide a better balance between features and privacy. By endowing OSN participants with full ownership and control of their personal data, including control over which machines are allowed to store information and who is allowed to access it, decentralized OSN architectures have the potential to reduce the risk of a large-scale privacy breach while providing OSN features, efficiency, and availability that are competitive with more centralized schemes. The work will provide insights into the fundamental tension between privacy and features in OSN-service architectures. Implementation and evaluation of methods based on these insights will lead to greater understanding of the features, efficiency, and availability that decentralized OSN architectures can support. The work will enable scientific inquiry into a wide range of social phenomena through the development of privacy-preserving methods and infrastructure for collecting location data. The work will also strengthen ties between computer science and on-campus initiatives for integrating undergraduate education and research through the Duke SmartHome.