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Practical Searchable Symmetric Encryption for Arbitrary Boolean Query-Join in Cloud Storage

delete2024-01-01
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PRE
AI
J
Jiawen Wu
张
张凯 (Kai Zhang) *
魏立斐 封面图
魏立斐 (Lifei Wei)
J
Junqing Gong
J
Jianting Ning
DOI:10.1109/TIFS.2024.3486002delete
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摘要

摘要

En 中文
Secure cloud storage offers encrypted databases outsourcing service for resource-constrained clients, containing numerous tables with certain relations. Searchable symmetric encryption enables a client to search over its encrypted database on the cloud, while rarely considering queries over joins of tables. Join Cross-Tags (JXT) protocol (ASIACRYPT 2022) is thence presented that enables conjunctive queries over joins of tables, while neglecting arbitrary Boolean queries with disjunctive and conjunctive normal forms (DNF/CNF) in TWINSSE (PETS 2023). However, trivially combining JXT and TWINSSE for arbitrary DNF/CNF boolean queries over joins of tables seems infeasible due to: (i) no support for dis/conjunctive query with the same meta-keyword; (ii) returning inaccurate search results; (iii) incurring costly storage overhead. Therefore, we introduce TNT-QJ, a practical TwiN cross-Tag protocol for arbitrary boolean Query-Join over multi-tables. The result is technically obtained from revisiting TWINSSE's framework via using s-term (the least frequent keyword) for the relation between a keyword and its meta-keyword, and non-trivially combined with JXT's query-join approach for introducing a connective attributed in encryption tuples. In addition, we present a semi- full multi-fork searchable tree to store keyword information and reveal keyword containment relations, where the storage consumption is reduced from O(n(3)) to O(n(2)). Finally, to clarify practical performance, we conduct extensive experiments on JXT and TNT-QJ using an open database in the HUAWEI cloud. Besides enabling disjunctive queries over joins of tables, TNT-QJ also runs 1.2x faster for conjunctive queries than JXT (with #keywords=2), which confirms rich features and practical efficiency.
Keyword:
Cloud computing
Databases
Encryption
Protocols
Servers
Search problems
Accuracy
Time complexity
Secure storage
Reviews
Cloud storage
joins of tables
keyword search
Boolean query
searchable symmetric encryption

期刊

IEEE Transactions on Information Forensics and Security 封面图
IEEE Transactions on Information Forensics and Security
IF:
8
论文数:
5.3K
被引数:
2.3W

机构

E
east china normal university
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3.1W
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被引数: 25
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Shanghai Maritime University
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4.8K
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S
Shanghai University of Electric Power
学者数:
5.2K
论文数: 3.4K
被引数: 4.9K
W
wuhan university
学者数:
8.1W
论文数: 5.8W
被引数: 70
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