Ciphertext Retrieval With Identity Bidirectional Authentication and Matrix Index in IoT
Ciphertext Retrieval With Identity Bidirectional Authentication and Matrix Index in IoT
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DOI：
10.1109/jiot.2023.3288131
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发表时间：
2024-01
影响因子：
10.6
通讯作者：
Nan Gao;K. Fan;Hao-Yu Wang;Hongyan Chen;Kuan Zhang;Hui Li;Yintang Yang
中科院分区：
文献类型：
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作者：
Nan Gao;K. Fan;Hao-Yu Wang;Hongyan Chen;Kuan Zhang;Hui Li;Yintang Yang
随着云计算的日益普及，基于云计算的物联网密文检索得到了广泛的探索。然而，在现有的大多数解决方案中，检索过程的安全性和效率很难同时实现。为此，我们开发了一种新的安全矩阵索引，并使用基于身份的加密来加密关键字，使用同态加密来加密矩阵值。前者可以保证关键字的安全性，后者可以在保证安全性的同时实现操作的效率。在此基础上，提出了一种基于身份的双向认证算法，保证只有经过认证的用户才能获取密文。此外，我们使用不同的评分公式来计算不同长度的文档的相关性分数，确保文档被适当地返回给用户。最后，我们设计了一种新的检索结构来保护关键字和密文之间的对应关系的隐私。安全性证明表明，该索引和陷门能够抵抗选择关键字攻击和关键字猜测攻击。大量的仿真结果表明，该方案是有效的。
Ciphertext retrieval for cloud-based Internet of Things has been widely explored with the increasing popularity of cloud computing. However, in most existing solutions, the security and efficiency of the retrieval process are difficult to achieve simultaneously. To this end, we develop a novel secure matrix index, and we utilize identity-based encryption to encrypt keywords and homomorphic encryption to encrypt matrix values. The former can guarantee the security of the keyword, and the latter can realize the efficiency of the operation while ensuring safety. Then, we develop an identity-based bidirectional authentication algorithm to ensure that only authenticated users can retrieve ciphertext. In addition, we use different scoring formulas to calculate the relevance scores of documents with different lengths, ensuring that the documents are appropriately returned to users. Finally, we design a new retrieval structure to protect the privacy of the correspondence between keywords and ciphertexts. The security proof shows that the index and trapdoor can resist chosen keyword attack and keyword Guessing attack. The extensive simulation shows that our scheme is efficient.