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Extended results on privacy against coalitions of users in user-private information retrieval protocols

机译:在用户专用信息检索协议中针对用户联盟的隐私的扩展结果

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In peer-to-peer user-private information retrieval, or P2P UPIR, the goal is to provide increased privacy for users querying a database. This is accomplished by leveraging a P2P network in which users forward each other’s queries to the database. That is, the database is trusted to serve correct answers to user queries, but not trusted to know the identity of the user who sent particular queries (or the source of the queries): users wish to maintain anonymity (relative to other users) with respect to the database. In this paper, we analyze protocols by Swanson and Stinson that are based on combinatorial designs; the use of combinatorial designs for P2P UPIR is a natural approach, because the “balance” properties of designs translate into desirable (and sometimes optimal) security properties in the resulting protocols. Our main contribution is to extend previous work by analyzing the privacy properties of suggested P2P UPIR protocols with respect to coalitions of honest-but-curious users. Previous work focuses on privacy properties achieved with respect to the database; as such, our work fills an important gap in the analysis of these protocols. We provide an analysis of the probabilistic advantage user coalitions have in guessing the source of a query. In particular, when a set of queries is linked by subject matter (i.e., the content of the queries reveals the fact that they have a common source), it is difficult to protect against user coalitions. We provide new results with respect to user attacks on linked queries, and we analyze the use of query hops as a mitigation technique, in which queries are probabilistically written to one or more memory spaces before forwarding to the database.
机译:在对等用户专用信息检索或P2P UPIR中,目标是为查询数据库的用户提供更高的隐私。这是通过利用P2P网络来实现的,在该网络中,用户将彼此的查询转发到数据库。也就是说,可信任的数据库可为用户查询提供正确的答案,但不可信任的是知道发送特定查询的用户的身份(或查询的来源):用户希望与用户保持匿名(相对于其他用户)尊重数据库。在本文中,我们分析了Swanson和Stinson基于组合设计的协议;将组合设计用于P2P UPIR是一种自然的方法,因为设计的“平衡”属性会在生成的协议中转化为所需的(有时是最佳的)安全属性。我们的主要贡献是通过针对诚实但好奇的用户联盟分析建议的P2P UPIR协议的隐私属性来扩展以前的工作。先前的工作重点是针对数据库实现的隐私属性;因此,我们的工作填补了这些协议分析的重要空白。我们提供了用户联盟在猜测查询源时具有的概率优势的分析。特别地,当一组查询通过主题链接(即,查询的内容揭示了它们具有共同来源的事实)时,很难防止用户联盟。我们针对用户对链接查询的攻击提供了新的结果,并且我们分析了使用查询跃点作为缓解技术的情况,在这种技术中,查询在转发到数据库之前被概率性地写入一个或多个内存空间。

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