IXT: Improved searchable encryption for multi-word queries based on PSI

Yunbo YANG, Xiaolei DONG, Zhenfu CAO, Jiachen SHEN, Shangmin DOU

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Front. Comput. Sci. ›› 2023, Vol. 17 ›› Issue (5) : 175811. DOI: 10.1007/s11704-022-2236-9
Information Security
RESEARCH ARTICLE

IXT: Improved searchable encryption for multi-word queries based on PSI

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Abstract

Oblivious Cross-Tags (OXT) [1] is the first efficient searchable encryption (SE) protocol for conjunctive queries in a single-writer single-reader framework. However, it also has a trade-off between security and efficiency by leaking partial database information to the server. Recent attacks on these SE schemes show that the leakages from these SE schemes can be used to recover the content of queried keywords. To solve this problem, Lai et al. [2] propose Hidden Cross-Tags (HXT), which reduces the access pattern leakage from Keyword Pair Result Pattern (KPRP) to Whole Result Pattern (WRP). However, the WRP leakage can also be used to recover some additional contents of queried keywords. This paper proposes Improved Cross-Tags (IXT), an efficient searchable encryption protocol that achieves access and searches pattern hiding based on the labeled private set intersection. We also prove the proposed labeled private set intersection (PSI) protocol is secure against semi-honest adversaries, and IXT is L-semi-honest secure (L is leakage function). Finally, we do experiments to compare IXT with HXT. The experimental results show that the storage overhead and computation overhead of the search phase at the client-side in IXT is much lower than those in HXT. Meanwhile, the experimental results also show that IXT is scalable and can be applied to various sizes of datasets.

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Keywords

searchable encryption / private set intersection

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Yunbo YANG, Xiaolei DONG, Zhenfu CAO, Jiachen SHEN, Shangmin DOU. IXT: Improved searchable encryption for multi-word queries based on PSI. Front. Comput. Sci., 2023, 17(5): 175811 https://doi.org/10.1007/s11704-022-2236-9

Yunbo Yang is a doctoral student in East China Normal University, China. His main research direction is secure multiparty computation (MPC) and private set intersection (PSI). He also works as a cryptographic researcher in Kunyao Academy of Shanghai Kunyao Network Technology Co., Ltd. and is responsible for the design of cryptographic algorithm

Xiaolei Dong received her PhD degree at Harbin Institute of Technology, China in 2001. She is a doctoral supervisor in East China Normal University, China. Her research interests include number theory, cryptography and network security (cloud computing, cloud processing security and privacy protection, big data security and privacy protection, etc.)

Zhenfu Cao is a doctoral supervisor in East China Normal University, China. His research interests include number theory, cryptography and new theories of network security (cloud computing, cloud processing security and privacy protection, big data security and privacy protection, etc.)

Jiachen Shen received his Bachelor degree at Shanghai Jiao Tong University, China in 2001, his Master and PhD degrees at University of Louisiana at Lafayette, USA in 2003 and 2008, respectively. He joined East China Normal University, China in 2015. His research interests include applied cryptography, cloud security, searchable encryption, and blockchains

Shangmin Dou received his Bachelor degree in Shanghai Ocean University, China in 2020. His main research interests is network security and applied cryptography (secure multiparty computation and data security, etc.). He is now working as a developer in PwC and is responsible for the design of system structure

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Acknowledgements

This work was supported in part by the National Key Research and Development Program of China (2020YFA0712300), in part by the National Natural Science Foundation of China (Grant Nos. 62172162, 62132005), and in part by the Shanghai Trusted Industry Internet Software Collaborative Innovation Center.

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