Forward and Backward Private Conjunctive Dynamic Searchable Symmetric Encryption With Refined Leakage Function and Low Communication

Dynamic searchable symmetric encryption (DSSE) enables updates and keyword searches on outsourced encrypted data while minimizing the information revealed to the server. However, existing DSSE schemes that support conjunctive keyword searches disclose added documents or fail to filter deleted ones in certain circumstances, thus violating forward and backward privacy. Besides, the size of their search tokens increases with the number of documents, which incurs a heavy communication cost. In this paper, we develop a conjunctive DSSE scheme that has a search token size only related to the conjunction size and fully supports forward and backward privacy. Our scheme is based on a new three-dimensional chain structure called CUBE. We also rethink the leakage function of conjunctive queries and prove that our scheme satisfies the refined security definition. Experimental results demonstrate that compared with the state-of-the-art schemes, our scheme increases the computational cost by at most 9.62% but reduces the communication cost by 99.78% when searching six conjunctive keywords.

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Publication Details

Journal
IEEE Transactions on Information Forensics and Security
Published
2025-01-01
DOI
https://doi.org/10.1109/tifs.2025.3592533
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00

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Forward and Backward Private Conjunctive Dynamic Searchable Symmetric Encryption With Refined Leakage Function and Low Communication

Kun He, Beining Wang, Meng Jia, Jing Chen et al.
IEEE Transactions on Information Forensics and Security
Cryptography and Data Security
article

Forward and Backward Private Conjunctive Dynamic Searchable Symmetric Encryption With Refined Leakage Function and Low Communication

Kun He, Beining Wang, Meng Jia, Jing Chen, Ruiying Du, Yinuo Li
article en

Abstract

Dynamic searchable symmetric encryption (DSSE) enables updates and keyword searches on outsourced encrypted data while minimizing the information revealed to the server. However, existing DSSE schemes that support conjunctive keyword searches disclose added documents or fail to filter deleted ones in certain circumstances, thus violating forward and backward privacy. Besides, the size of their search tokens increases with the number of documents, which incurs a heavy communication cost. In this paper, we develop a conjunctive DSSE scheme that has a search token size only related to the conjunction size and fully supports forward and backward privacy. Our scheme is based on a new three-dimensional chain structure called CUBE. We also rethink the leakage function of conjunctive queries and prove that our scheme satisfies the refined security definition. Experimental results demonstrate that compared with the state-of-the-art schemes, our scheme increases the computational cost by at most 9.62% but reduces the communication cost by 99.78% when searching six conjunctive keywords.

IEEE Transactions on Information Forensics and SecurityVol. 20
Hong Kong Polytechnic University (HK), Wuhan University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Key Research and Development Program of Liaoning Province
Openalex Percentile: Top 91%
Cryptography and Data Security
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Forward and Backward Private Conjunctive Dynamic Searchable Symmetric Encryption With Refined Leakage Function and Low Communication — Kun He, Beining Wang, et al. · IEEE Transactions on Information Forensics and Security (2025) | TGRS Research Map | TGRS