Online/Offline traceable attribute-based encryption [in Chinese]

Attribute-based encryption (ABE), as a public key encryption, can be utilized for fine-grained access control. However, there are two main drawbacks that limit the applications of attribute-based encryption. First, as different users may have the same decryption privileges in ciphertext-policy attri...

Full description

Saved in:
Bibliographic Details
Main Authors: ZHANG, Kai, MA, Jianfeng, ZHANG, Junwei, YING, Zuobin, ZHANG, Tao, LIU, Ximeng
Format: text
Language:Chinese
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/4821
https://ink.library.smu.edu.sg/context/sis_research/article/5824/viewcontent/Online_offline_traceable_pv_chinese.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: Chinese
id sg-smu-ink.sis_research-5824
record_format dspace
spelling sg-smu-ink.sis_research-58242020-01-16T09:54:35Z Online/Offline traceable attribute-based encryption [in Chinese] ZHANG, Kai MA, Jianfeng ZHANG, Junwei YING, Zuobin ZHANG, Tao LIU, Ximeng Attribute-based encryption (ABE), as a public key encryption, can be utilized for fine-grained access control. However, there are two main drawbacks that limit the applications of attribute-based encryption. First, as different users may have the same decryption privileges in ciphertext-policy attribute-based encryption, it is difficult to catch the users who sell their secret keys for financial benefit. Second, the number of resource-consuming exponentiation operations required to encrypt a message in ciphertext-policy attribute-based encryption grows with the complexity of the access policy, which presents a significant challenge for the users who encrypt data on mobile devices. Towards this end, after proposing the security model for online/offline traceable attribute-based encryption, we present an online/offline traceable ciphertext-policy attribute-based encryption scheme in prime order bilinear groups, and further prove that it is selectively secure in the standard model. If a malicious user leaks his/her secret key to others for benefit, he/she will be caught by a tracing algorithm in our proposed scheme. Extensive efficiency analysis results indicate that the proposed scheme moves the majority cost of an encryption into the offline encryption phase and is suitable for user encryption on mobile devices. In addition, the proposed scheme supports large universe of attributes, which makes it more flexible for practical applications. 2018-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4821 info:doi/10.7544/issn1000-1239.2018.20160799 https://ink.library.smu.edu.sg/context/sis_research/article/5824/viewcontent/Online_offline_traceable_pv_chinese.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems chi Institutional Knowledge at Singapore Management University Online/offline Standard model Traceability Attribute-based encryption (ABE) Large universe Information Security
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language Chinese
topic Online/offline
Standard model
Traceability
Attribute-based encryption (ABE)
Large universe
Information Security
spellingShingle Online/offline
Standard model
Traceability
Attribute-based encryption (ABE)
Large universe
Information Security
ZHANG, Kai
MA, Jianfeng
ZHANG, Junwei
YING, Zuobin
ZHANG, Tao
LIU, Ximeng
Online/Offline traceable attribute-based encryption [in Chinese]
description Attribute-based encryption (ABE), as a public key encryption, can be utilized for fine-grained access control. However, there are two main drawbacks that limit the applications of attribute-based encryption. First, as different users may have the same decryption privileges in ciphertext-policy attribute-based encryption, it is difficult to catch the users who sell their secret keys for financial benefit. Second, the number of resource-consuming exponentiation operations required to encrypt a message in ciphertext-policy attribute-based encryption grows with the complexity of the access policy, which presents a significant challenge for the users who encrypt data on mobile devices. Towards this end, after proposing the security model for online/offline traceable attribute-based encryption, we present an online/offline traceable ciphertext-policy attribute-based encryption scheme in prime order bilinear groups, and further prove that it is selectively secure in the standard model. If a malicious user leaks his/her secret key to others for benefit, he/she will be caught by a tracing algorithm in our proposed scheme. Extensive efficiency analysis results indicate that the proposed scheme moves the majority cost of an encryption into the offline encryption phase and is suitable for user encryption on mobile devices. In addition, the proposed scheme supports large universe of attributes, which makes it more flexible for practical applications.
format text
author ZHANG, Kai
MA, Jianfeng
ZHANG, Junwei
YING, Zuobin
ZHANG, Tao
LIU, Ximeng
author_facet ZHANG, Kai
MA, Jianfeng
ZHANG, Junwei
YING, Zuobin
ZHANG, Tao
LIU, Ximeng
author_sort ZHANG, Kai
title Online/Offline traceable attribute-based encryption [in Chinese]
title_short Online/Offline traceable attribute-based encryption [in Chinese]
title_full Online/Offline traceable attribute-based encryption [in Chinese]
title_fullStr Online/Offline traceable attribute-based encryption [in Chinese]
title_full_unstemmed Online/Offline traceable attribute-based encryption [in Chinese]
title_sort online/offline traceable attribute-based encryption [in chinese]
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/sis_research/4821
https://ink.library.smu.edu.sg/context/sis_research/article/5824/viewcontent/Online_offline_traceable_pv_chinese.pdf
_version_ 1770575054697922560