Verifiable and Multi-Keyword Searchable Encryption Scheme Based on LSSS

Su Li, Cheng Qin, Zi-Han Xu, Xinzhe Zhang, Zhien Liu, Lei Wu
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引用次数: 0

Abstract

Attribute-based Searchable Encryption (ABSE) schemes allow keyword encryption to be outsourced to cloud servers, and users can securely search for keyword ciphertext documents of interest. However, most existing searchable encryption schemes do not encourage the fine-grained search of users, and attributes are exposed to third parties easily. Moreover, ABSE schemes have high computational costs for resource-constrained clients on the user's client side. To solve the above problems, a verifiable and multi-keyword searchable encryption scheme based on linear secret sharing schemes (LSSS) is presented by us, which enables users to achieve a more efficient and secure fine-grained search of multi-keyword documents. In this scheme, access control is achieved using LSSS technology, and user attribute hiding is accomplished by hash. Furthermore, user authentication and pre-decryption are outsourced to cloud servers without leaking any information, which lessens the client's computational burden. It is demonstrated that the scheme can resist selective plaintext and selective keyword attacks in security models. In addition, the performance evaluation shows that our scheme performs well in real application scenarios.
基于LSSS的可验证多关键字可搜索加密方案
基于属性的可搜索加密(ABSE)方案允许将关键字加密外包给云服务器,用户可以安全地搜索感兴趣的关键字密文文档。然而,大多数现有的可搜索加密方案不鼓励用户进行细粒度搜索,并且属性很容易暴露给第三方。此外,对于用户客户端资源受限的客户端,ABSE方案的计算成本很高。针对上述问题,我们提出了一种基于线性秘密共享方案(LSSS)的可验证、可多关键字搜索的加密方案,使用户能够更高效、更安全地对多关键字文档进行细粒度搜索。在该方案中,使用LSSS技术实现访问控制,并通过散列实现用户属性隐藏。此外,用户身份验证和预解密外包给云服务器,不会泄露任何信息,从而减轻了客户端的计算负担。结果表明,该方案能够抵抗安全模型中的选择性明文攻击和选择性关键字攻击。此外,性能评估表明,我们的方案在实际应用场景中表现良好。
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