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Soft Computing
Erschienen in: Soft Computing 18/2019

31.08.2018 | Methodologies and Application

Secure and efficient parallel hash function construction and its application on cloud audit

verfasst von: Yijun Yang, Fei Chen, Zhiwei Sun, Shulan Wang, Jianqiang Li, Jianyong Chen, Zhong Ming

Erschienen in: Soft Computing | Ausgabe 18/2019

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Abstract

Rapid development of cloud computing has created enormous security challenges on authenticity, integrity, availability and reliability of outsourced data. Cloud audit is an effective solution for massive data verification and provides reliable and credible authentication results. High efficiency of audit is needed because real-time verification of data is necessary for most of applications on cloud. Since hashing operation is an essential function in audit scheme which occupies most of audit overhead, this paper proposes a parallel iterative structure and a message padding procedure to construct a novel parallel lattice hash function (PLHF). Moreover, inside the parallel iterative structure, a lattice-based hash compression function is proposed to reduce the hardness of PLHF cracking into the solution of shortest vector problem. Based on experimental results and security analysis, the cloud audit scheme with PLHF does not only perform significant higher efficiency, but also has stronger security.
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Nächster Artikel Multigranulation vague rough set over two universes and its application to group decision making

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Metadaten
Titel
Secure and efficient parallel hash function construction and its application on cloud audit
verfasst von
Yijun Yang
Fei Chen
Zhiwei Sun
Shulan Wang
Jianqiang Li
Jianyong Chen
Zhong Ming
Publikationsdatum
31.08.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 18/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3489-y

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