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Collaborative outsourced data integrity checking in multi-cloud environment

  • George Washington University
  • Beihang University
  • North China University of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Cloud storage has been widely used to in services such as data outsourcing and resource sharing due to its convenience, low cost and flexibility. However, users will lose the physical control of their data after outsourcing; consequently, ensuring the integrity of their outsourced data becomes an important security requirement of multi-cloud storage applications. In this paper, we present a collaborative multicloud data integrity audition scheme, which is based on BLS (Boneh-Lynn-Shacham) signatures and homomorphic tags. According to the proposed scheme, users can audit their outsourced data in a one-round challenge-response process with low performance overhead. Our scheme also enables public verification and supports dynamic data maintenance. The theoretical analysis and experiment results illustrate that our scheme is provably secure and efficient.

源语言英语
主期刊名Wireless Algorithms, Systems, and Applications - 11th International Conference, WASA 2016, Proceedings
编辑Yacine Challal, Qing Yang, Wei Yu
出版商Springer Verlag
511-523
页数13
ISBN(印刷版)9783319428352
DOI
出版状态已出版 - 2016
活动11th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2016 - Bozeman, 美国
期限: 8 8月 201610 8月 2016

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9798 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议11th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2016
国家/地区美国
Bozeman
时期8/08/1610/08/16

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