ABE with improved auxiliary input for big data security
ABE with improved auxiliary input for big data security
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ABE 具有改进的辅助输入以确保大数据安全
DOI:
10.1016/j.jcss.2016.12.006
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发表时间:
2017-11
影响因子:
1.1
通讯作者:
Chang Victor
中科院分区:
文献类型:
--
作者:
Wang Zhiwei;Cao Cheng;Yang Nianhua;Chang Victor
Attribute-based encryption (ABE) is recommended by the Cloud Security Alliance (CSA) as one of the possible cryptographic tools for access control in big data applications. In ABE, the shared file can be encrypted with the specific policy only once, and it can be decrypted by any receiver whose attributes are satisfied. When ABE is deployed in some open network scenarios, it is inevitably attacked by side channel attacks, because the big data are coming from diverse end-points. In this paper, we propose leakage resilient CP-ABE and KP-ABE schemes in the improved auxiliary input model, which allows the attacker query more leakage information regarding the encryption randomness after seeing the challenge ciphertext. Moreover, we construct an improved strong extractor from the modified Goldreich–Levin theorem for the security proof and prove that our scheme security relies on the Wang et al. construction.
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DOI:
10.1007/978-3-319-26059-4_21
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2015-11
期刊:
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影响因子:
--
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Zhiwei Wang;S. Yiu
DOI:
10.1007/978-3-642-33272-2_9
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期刊:
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影响因子:
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DOI:
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Cluster Computing
影响因子:
--
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Darren Quick;Kim-Kwang Raymond Choo
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DOI:
10.1002/cpe.3868
发表时间:
2017-07
期刊:
Concurrency and Computation: Practice and Experience
影响因子:
--
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N. H. A. Rahman;N. Cahyani;Kim-Kwang Raymond Choo
通讯作者:
N. H. A. Rahman;N. Cahyani;Kim-Kwang Raymond Choo
DOI:
10.1007/978-3-319-11203-9_8
发表时间:
2014-09
期刊:
Chemistry Africa
影响因子:
--
作者:
Tsz Hon Yuen;Ye Zhang;S. Yiu;Joseph K. Liu
通讯作者:
Tsz Hon Yuen;Ye Zhang;S. Yiu;Joseph K. Liu