期刊
JOURNAL OF COMPUTER AND SYSTEM SCIENCES
卷 89, 期 -, 页码 41-50出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcss.2016.12.006
关键词
ABE; Improved auxiliary input; Encryption randomness; Big data application
资金
- National Natural Science Foundation of China [61373006, 61672016]
- Qing Lan Project
- Open Project Program [GEOCAQ2016-06, AGK201603]
- Humanities and Social Science Research Planning Fund of the Education Ministry of China [15YJCZH201]
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. (C) 2016 Elsevier Inc. All rights reserved.
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