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Searchable Symmetric Encryption: Designs and Challenges

机译:可搜索的对称加密:设计和挑战

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Searchable Symmetric Encryption (SSE) when deployed in the cloud allows one to query encrypted data without the risk of data leakage. Despite the widespread interest, existing surveys do not examine in detail how SSE's underlying structures are designed and how these result in the many properties of a SSE scheme. This is the gap we seek to address, as well as presenting recent state-of-the-art advances on SSE. Specifically, we present a general framework and believe the discussions may lead to insights for potential new designs. We draw a few observations. First, most schemes use index table, where optimal index size and sublinear search can be achieved using an inverted index. Straightforward updating can only be achieved using direct index, but search time would be linear. A recent trend is the combinations of index table, and tree, deployed for efficient updating and storage. Secondly, mechanisms from related fields such as Oblivious RAM (ORAM) have been integrated to reduce leakages. However, using thesemechanisms tominimise leakages in schemes with richer functionalities (e.g., ranked, range) is relatively unexplored. Thirdly, a new approach (e.g., multiple servers) is required to mitigate new and emerging attacks on leakage. Lastly, we observe that a proposed index may not be practically efficient when implemented, where I/O access must be taken into consideration.
机译:可搜索对称加密(SSE)部署在云中后,可以查询加密的数据而没有数据泄漏的风险。尽管引起了广泛关注,但现有调查并未详细检查SSE的底层结构是如何设计的,以及这些结构如何导致SSE方案的许多特性。这是我们寻求解决的差距,同时也介绍了SSE的最新进展。具体来说,我们提出了一个总体框架,并认为这些讨论可能会为潜在的新设计带来见识。我们得出一些观察结果。首先,大多数方案都使用索引表,其中可以使用倒排索引来实现最佳索引大小和亚线性搜索。直接更新只能使用直接索引来实现,但是搜索时间将是线性的。最近的趋势是部署索引表和树的组合,以进行有效的更新和存储。其次,集成了诸如Oblivious RAM(ORAM)等相关领域的机制,以减少泄漏。但是,在功能更丰富的方案(例如等级,范围)中使用这些机制来最小化泄漏是相对未曾探索过的。第三,需要一种新的方法(例如,多个服务器)来减轻对泄漏的新的和正在出现的攻击。最后,我们观察到建议的索引在实施时可能实际上并不高效,在这种情况下,必须考虑I / O访问。

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