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Multi-Client Boolean File Retrieval With Adaptable Authorization Switching for Secure Cloud Search Services

delete2023-11-01
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PRE
AI
张
张凯 (Kai Zhang)
X
Xiwen Wang
J
Jianting Ning
温蜜 封面图
温蜜 (Mi Wen) *
Rongxing Lu 封面图
Rongxing Lu (Rongxing Lu)
DOI:10.1109/TDSC.2022.3227650delete
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摘要

摘要

En 中文
Secure cloud search services provide a cost-effective way for resource-constrained clients to search encrypted files in the cloud, where data owners can customize search authorization. Despite providing fine-grained authorization, traditional attribute-based keyword search (ABKS) solutions generally support single keyword search. Towards expressive queries over encrypted data, multi client searchable symmetric encryption (MC-SSE) was introduced. However, current search authorizations of existing MC-SSEs: (i) cannot support dynamic updating; (ii) are (semi-)black-box implementations of attribute-based encryption; (iii) incur significant cost during system initialization and file encryption. To address these limitations, we present AasBirch, an MC-SSE system with fast finegrained authorization that supports adaptable authorization switching from one policy to any other one. AasBirch achieves constant size storage and lightweight time cost for system initialization, file encryption and file searching. We conduct extensive experiments based on Enron dataset in real cloud environment. Compared to state-of-the-art MC-SSE with fine-grained authorization, AasBirch achieves 30 similar to 200x smaller public parameter and secret key size, with the assumed least frequent keyword in a query (s-term) as 21. Moreover, it runs 10 similar to 20x faster for file encryption and > 20x faster for file searching. In addition, AasBirch outperforms 80,000x (resp. 7,850x) faster with s-term=1 (resp. =21), as compared to classic dynamic ABKS system.
Keyword:
Access control
boolean query
cloud storage
keyword search
searchable encryption

期刊

IEEE Transactions on Dependable and Secure Computing 封面图
IEEE Transactions on Dependable and Secure Computing
IF:
7.5
论文数:
2.6K
被引数:
9.6K

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University of New Brunswick
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Fujian Normal University
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被引数: 1.3W
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Shanghai University of Electric Power
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被引数: 4.9K
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