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Abstract:
Searchable Encryption (SE) is an important technique to guarantee data security and usability in the cloud at the same time. Leveraging Ciphertext-Policy Attribute-Based Encryption (CP-ABE), the Ciphertext-Policy Attribute-Based Keyword Search (CP-ABKS) scheme can achieve keyword-based retrieval and fine-grained access control simultaneously. However, the single attribute authority in existing CP-ABKS schemes is tasked with costly user certificate verification and secret key distribution. In addition, this results in a single-point performance bottleneck in distributed cloud systems. Thus, in this paper, we present a secure Multi-authority CP-ABKS (MABKS) system to address such limitations and minimize the computation and storage burden on resource-limited devices in cloud systems. In addition, the MABKS system is extended to support malicious attribute authority tracing and attribute update. Our rigorous security analysis shows that the MABKS system is selectively secure in both selective-matrix and selective-attribute models. Our experimental results using real-world datasets demonstrate the efficiency and utility of the MABKS system in practical applications.
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IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
ISSN: 1545-5971
Year: 2021
Issue: 4
Volume: 18
Page: 1667-1680
6 . 7 9 1
JCR@2021
7 . 0 0 0
JCR@2023
ESI Discipline: COMPUTER SCIENCE;
ESI HC Threshold:106
JCR Journal Grade:1
CAS Journal Grade:1
Cited Count:
WoS CC Cited Count: 82
SCOPUS Cited Count: 102
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
Affiliated Colleges: