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引用次数: 5

摘要

云计算的出现开启了远程服务器存储海量数据的时代。远程数据存储以经济有效的方式减少了数据所有者的数据管理开销。但是,出于安全考虑,敏感文档需要以加密格式存储。但是,加密存储使得搜索存储的文档变得困难。因此,这对从远程服务器选择性地检索加密文档构成了一个主要障碍。针对加密数据(通常称为可搜索加密)的关键字搜索,已经提出了各种协议来解决这个问题。遗忘RAM类型协议提供了对加密数据的安全搜索,但在实际应用中使用过于昂贵。不幸的是,由于效率原因,所有基于对称密钥的加密协议都会泄漏数据访问模式。在这张海报中,我们首先分析了访问模式披露的影响。为此,我们引入了一种新的攻击模型,该模型利用访问模式泄漏来使用少量的先验知识泄露大量敏感信息。我们还在真实数据集上提出了一组初步的实证结果来证明我们的主张。
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Poster: inference attacks against searchable encryption protocols
The advent of cloud computing has ushered in an era of mass data storage in remote servers. Remote data storage offers reduced data management overhead for data owners in a cost effective manner. Sensitive documents, however, need to be stored in encrypted format due to security concerns. But, encrypted storage makes it difficult to search on the stored documents. Therefore, this poses a major barrier towards selective retrieval of encrypted documents from the remote servers. Various protocols have been proposed for keyword search over encrypted data (commonly referred to as searchable encryption) to address this issue. Oblivious RAM type protocols offer secure search over encrypted data, but are too expensive to be used in practical applications. Unfortunately, all of the symmetric key based encryption protocols leak data access patterns due to efficiency reasons. In this poster, we are the first to analyze the effects of access pattern disclosure. To that end, we introduce a novel attack model that exploits access pattern leakage to disclose significant amount of sensitive information using a modicum of prior knowledge. We also present a preliminary set of empirical results on a real dataset to justify our claim.
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来源期刊
CiteScore
9.20
自引率
0.00%
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0
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