ISCAS OpenIR
dynamic provable data possession with batch-update verifiability
Wang Junxiang; Liu Shengli
2012
会议名称2012 IEEE International Conference on Intelligent Control, Automatic Detection and High-End Equipment, ICADE 2012
会议录名称Proceedings - 2012 IEEE International Conference on Intelligent Control, Automatic Detection and High-End Equipment, ICADE 2012
页码108-113
会议日期July 27, 2012 - July 29, 2012
会议地点Beijing, China
收录类别EI
ISBN9781467313322
部门归属(1) Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China; (2) State Key Laboratory of Information Security Institute of Software Chinese Academy of Sciences Beijing China
摘要Cloud storage security has drawn more and more concerns in Cloud Computing literatures. The Provable Data Possession (PDP) model has been defined for ensuring the integrity of files on untrusted storages. Since cloud storage is practically not only used for storing static data, the Dynamic Provable Data Possession (DPDP) model has been put forward, in which model, file content can be updated while the storage server is still able to prove the integrity and freshness of the file. In existing DPDP schemes, homomorphic MAC or signature is applied to achieve blockless verification in the course of integrity checking, whereas in the course of update verification, the verification protocol has to be performed for every single block update. In this paper, we develop a batch-update verifiable DPDP mode that verifies a batch of block updates at once to achieve efficiency. We construct our scheme by developing a variant authenticated 2-3 tree to enable data dynamics and batch-update verification. We also employ a BLS-like signature to enable public verification. The simulation shows that our batched scheme achieves great performance improvement on update verification. © 2012 IEEE.; Cloud storage security has drawn more and more concerns in Cloud Computing literatures. The Provable Data Possession (PDP) model has been defined for ensuring the integrity of files on untrusted storages. Since cloud storage is practically not only used for storing static data, the Dynamic Provable Data Possession (DPDP) model has been put forward, in which model, file content can be updated while the storage server is still able to prove the integrity and freshness of the file. In existing DPDP schemes, homomorphic MAC or signature is applied to achieve blockless verification in the course of integrity checking, whereas in the course of update verification, the verification protocol has to be performed for every single block update. In this paper, we develop a batch-update verifiable DPDP mode that verifies a batch of block updates at once to achieve efficiency. We construct our scheme by developing a variant authenticated 2-3 tree to enable data dynamics and batch-update verification. We also employ a BLS-like signature to enable public verification. The simulation shows that our batched scheme achieves great performance improvement on update verification. © 2012 IEEE.
关键词Intelligent Control Trees (Mathematics)
主办者IEEE Beijing Section; Beijing Institute of Graphic Communication; Beijing University of Posts and Telecommunications; Printing and Printing Equipment Industries Association of China; Beijing Association for Artificial Intelligence
语种英语
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/15890
专题中国科学院软件研究所
推荐引用方式
GB/T 7714
Wang Junxiang,Liu Shengli. dynamic provable data possession with batch-update verifiability[C],2012:108-113.
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