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An Efficient Key-Policy Attribute-Based Searchable Encryption in Prime-Order Groups

机译:素数组中基于密钥策略属性的有效可搜索加密

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Public key encryption with keyword search (PEKS) is a promising cryptographic mechanism to enable secure search over encrypted data in cloud. The mechanism allows a semi-trusted cloud server to return related encrypted contents without knowing what the query is and what the corresponding contents are. It has been combined with attribute based encryption (ABE) to support more expressiveness in search. Most of the existing searchable ABE schemes, however, are restricted to heavy complexity. In particular, the size of ciphertext and pairing cost in the test phase are both linear in the size of the keyword set, say O(n), where n is the number of keyword. This limitation hinders the scalability of searchable ABE in practice. To address this long-lasting open problem, this paper proposes a new key-policy attribute-based search encryption (KP-ABSE) scheme. Our construction can be regarded as a novel combination of fast decryption, anonymous-like encryption, and KP-ABE technologies. As of independent interest, the scheme is built in asymmetric bilinear groups. The scheme is further proved secure under the asymmetric decisional DBDH, decisional q-BDHE and decisional linear assumptions in the standard model. Compared with existing KP-ABSE schemes, our new scheme achieves the following properties: (1) flexible access structure for search - any monotonic access structure, (2) constant ciphertext size, (3) constant pairing operations in the test phase.
机译:带有关键字搜索(PEKS)的公钥加密是一种很有前途的加密机制,可以对云中的加密数据进行安全搜索。该机制允许半信任的云服务器返回相关的加密内容,而无需知道查询是什么以及对应的内容是什么。它已与基于属性的加密(ABE)相结合,以支持搜索中的更多表达。但是,大多数现有的可搜索ABE方案仅限于繁琐的工作。特别是,在测试阶段,密文的大小和配对成本在关键字集的大小(即O(n))中都是线性的,其中n是关键字的数量。该限制实际上阻碍了可搜索ABE的可伸缩性。为了解决这个长期存在的开放性问题,本文提出了一种新的基于密钥策略属性的搜索加密(KP-ABSE)方案。我们的构造可以看作是快速解密,类似匿名的加密和KP-ABE技术的新颖组合。作为独立利益,该方案建立在非对称双线性组中。在标准模型中的非对称决策DBDH,决策q-BDHE和决策线性假设下,该方案进一步被证明是安全的。与现有的KP-ABSE方案相比,我们的新方案具有以下特性:(1)灵活的搜索访问结构-任何单调访问结构;(2)不变的密文大小;(3)测试阶段的不变配对操作。

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