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15-07-2015 | Methodologies and Application

Public-key encryption for protecting data in cloud system with intelligent agents against side-channel attacks

Authors: Chengyu Hu, Pengtao Liu, Yongbin Zhou, Shanqing Guo, Yilei Wang, Qiuliang Xu

Published in: Soft Computing | Issue 12/2016

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Abstract

Public-key encryption can be used to protect the sensitive data in cloud system with intelligent mobile agents facilitating better services. However, many public-key encryption schemes do not resist the side-channel attacks which can be applied to the encryption instances implemented on a chip or cloud to obtain partial information leakage about the secret states, as the traditional security model of public-key encryption does not capture this kind of attacks. Also, the adversary can inject fault to tamper with the secret key and observe the output of the public-key encryption scheme under this modified key which is called “related-key attacks”. Inspired by these, the models of key-leakage attacks and related-key attacks are formalized, respectively. In this paper, we present a method to construct public-key encryption schemes against both weak key-leakage attacks and linear related-key attacks from extractable hash proof systems (EHPS or XHPS). Specifically, we first transform ABOEHPS to weak leakage-resilient ABOEHPS and add Key Homomorphism and Fingerprinting properties to it. Then, based on this new ABOEHPS, we construct weak leakage-resilient adaptive trapdoor relation with these two properties and public-key encryption schemes against both weak key-leakage attacks and linear related-key attacks can be constructed from it. Moreover, we propose a public-key encryption scheme against both adaptive key-leakage attacks and linear related-key attacks.

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Note that the leakage of the master secret key has nothing to do with this property.

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Title: Public-key encryption for protecting data in cloud system with intelligent agents against side-channel attacks
Authors: Chengyu Hu
Pengtao Liu
Yongbin Zhou
Shanqing Guo
Yilei Wang
Qiuliang Xu
Publication date: 15-07-2015
Publisher: Springer Berlin Heidelberg
Published in: Soft Computing / Issue 12/2016
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-015-1782-6

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