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Beyond Access Pattern: Efficient Volume-Hiding Multi-Range Queries Over Outsourced Data Services

delete2025-01-01
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PRE
AI
H
Haoyang Wang
K
Kai Fan *
C
Chong Yu
K
Kuan Zhang
李风华 (Fenghua Li)
朱浩瑾 (Haojin Zhu)
DOI:10.1109/TIFS.2025.3540576delete
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Abstract

Abstract

En 中文
Multi-range query (MRQ) is a typical multi-attribute data query widely used in various practical applications. It is capable of searching all data objects contained in a query request. Many privacy-preserving MRQ schemes have been proposed to realize MRQ on encrypted data. However, existing MRQ schemes only consider the security threat caused by access pattern leakage, not the harm of volume pattern leakage. Moreover, most existing schemes cannot achieve efficient queries and updates while preserving the access pattern. In this paper, we propose an efficient MRQ scheme for hiding volume and access patterns. We first design a joint data index using Order-Revealing Encryption (ORE) and Pseudo-random functions (PRFs) to realize volume-hiding range queries. Then, we combine the private set intersection (PSI) and hardware Software Guard Extensions (SGX) to compute each attribute's intersection of query results. In addition, we preserve access patterns during queries by designing a batch refresh algorithm and an update protocol. Finally, rigorous security analysis and extensive experiments demonstrate the security and performance of our scheme in real-world scenarios.
Keywords:
Cryptography
Indexes
Encryption
Servers
Protocols
Protection
Electronic mail
Hardware
Information leakage
Fans
Privacy-preserving multi-range query
volume pattern
access pattern
hardware SGX

Journal

IEEE Transactions on Information Forensics and Security cover
IEEE Transactions on Information Forensics and Security
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5.2K
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2.3W

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