TWC: Medium: Collaborative: Privacy-Preserving Distributed Storage and Computation

该项目旨在开发有效的方法来保护分布式环境中外包数据计算的隐私。该项目解决了外包存储框架的设计，其中存储服务器观察到的访问模式不提供有关客户端访问的实际数据的信息，并且不能与外部事件相关联。例如，服务器无法确定客户端之前是否访问过某个项目，或者是否正在执行某个算法。此属性提供了远远超出标准数据加密的高级隐私保护。该项目还涉及验证外包计算正确性的高级方法，重点是关键字搜索和图算法。该项目的教育部分包括计算机安全入门课程的课程开发工作。该项目拥有广泛应用于企业和消费者广泛使用的web服务的应用程序。对外包数据的隐私保护访问与基于web的电子邮件和办公应用程序相关。此外，它对于专有业务数据、医疗数据和其他敏感个人数据的管理尤其重要。

This project aims at developing efficient methods for protecting the privacy of computations on outsourced data in distributed settings. The project addresses the design of an outsourced storage framework where the access pattern observed by the storage server gives no information about the actual data accessed by the client and cannot be correlated with external events. For example, the server cannot determine whether a certain item was previously accessed by the client or whether a certain algorithm is being executed. This property provides a high level of privacy protection that goes far beyond standard data encryption. The project also deals with advanced methods for verifying the correctness of outsourced computations, focusing on keyword searches and graph algorithms. The educational component of the project includes a curricular development effort for introductory computer security courses.The project has applications to a broad range of web services widely used by business and consumers. Privacy-preserving access for outsourced data is relevant to web-based email and office applications. Also, it is especially important for the management of proprietary business data, medical data, and other sensitive personal data.