Publication Type

Journal Article

Version

acceptedVersion

Publication Date

11-2023

Abstract

To achieve the search over encrypted data in cloud server, Searchable Encryption (SE) has attracted extensive attention from both academic and industrial fields. The existing Bloom filter-based SE schemes can achieve similarity search, but will generally incur high false positive rates, and even leak the privacy of values in Bloom filters (BF). To solve the above problems, we first propose a basic Privacy-preserving Bloom filter-based Keyword Search scheme using the Circular Shift and Coalesce-Bloom Filter (CSC-BF) and Symmetric-key Hidden Vector Encryption (SHVE) technology (namely PBKS), which can achieve effective search while protecting the values in BFs. Then, we design a new index structure T-CSCBF utilizing the Twin Bloom Filter (TBF) technology. Based on this, we propose an improved scheme PBKS+, which assigns a unique inclusion identifier to each position in each BF with privacy protection. Formal security analysis proves that our schemes are secure against Indistinguishability under Selective Chosen-Plaintext Attack (IND-SCPA), and extensive experiments using real-world datasets demonstrate that our schemes are feasible in practice.

Keywords

Keyword search, Encryption, cryptography, security, privacy, searchable symmetric encryption, Bloom-filter-based keyword search, circular shift and coalesce Bloom filter

Discipline

Databases and Information Systems | Information Security

Research Areas

Cybersecurity

Publication

IEEE Transactions on Computers

Volume

72

Issue

11

First Page

3086

Last Page

3098

ISSN

0018-9340

Identifier

10.1109/TC.2023.3285103

Publisher

Institute of Electrical and Electronics Engineers

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/TC.2023.3285103

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