Multi-authority attribute-based keyword search over encrypted cloud data
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...
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sg-smu-ink.sis_research-60662020-03-26T08:13:44Z Multi-authority attribute-based keyword search over encrypted cloud data MIAO, Yibin DENG, Robert H. LIU, Ximeng CHOO, Kim-Kwang Raymond. WU, Hongjun LI, Hongwei 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. 2019-01-08T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5063 info:doi/10.1109/TDSC.2019.2935044 https://ink.library.smu.edu.sg/context/sis_research/article/6066/viewcontent/Multi_Authority_Attribute_Based_Keyword_Search_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University attribute-based encryption multi-authority Searchable encryption selective-attribute model selective-matrix model Information Security |
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attribute-based encryption multi-authority Searchable encryption selective-attribute model selective-matrix model Information Security MIAO, Yibin DENG, Robert H. LIU, Ximeng CHOO, Kim-Kwang Raymond. WU, Hongjun LI, Hongwei Multi-authority attribute-based keyword search over encrypted cloud data |
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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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MIAO, Yibin DENG, Robert H. LIU, Ximeng CHOO, Kim-Kwang Raymond. WU, Hongjun LI, Hongwei |
author_facet |
MIAO, Yibin DENG, Robert H. LIU, Ximeng CHOO, Kim-Kwang Raymond. WU, Hongjun LI, Hongwei |
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MIAO, Yibin |
title |
Multi-authority attribute-based keyword search over encrypted cloud data |
title_short |
Multi-authority attribute-based keyword search over encrypted cloud data |
title_full |
Multi-authority attribute-based keyword search over encrypted cloud data |
title_fullStr |
Multi-authority attribute-based keyword search over encrypted cloud data |
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Multi-authority attribute-based keyword search over encrypted cloud data |
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multi-authority attribute-based keyword search over encrypted cloud data |
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Institutional Knowledge at Singapore Management University |
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2019 |
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https://ink.library.smu.edu.sg/sis_research/5063 https://ink.library.smu.edu.sg/context/sis_research/article/6066/viewcontent/Multi_Authority_Attribute_Based_Keyword_Search_av.pdf |
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