TY - JOUR
T1 - ABE with improved auxiliary input for big data security
AU - Wang, Zhiwei
AU - Cao, Cheng
AU - Yang, Nianhua
AU - Chang, Victor
N1 - Publisher Copyright:
© 2016 Elsevier Inc.
PY - 2017/11
Y1 - 2017/11
N2 - 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.
AB - 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.
KW - ABE
KW - Big data application
KW - Encryption randomness
KW - Improved auxiliary input
UR - http://www.scopus.com/inward/record.url?scp=85008441656&partnerID=8YFLogxK
U2 - 10.1016/j.jcss.2016.12.006
DO - 10.1016/j.jcss.2016.12.006
M3 - Article
AN - SCOPUS:85008441656
SN - 0022-0000
VL - 89
SP - 41
EP - 50
JO - Journal of Computer and System Sciences
JF - Journal of Computer and System Sciences
ER -