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  • 标题:Dynamic Audit and Data Storage in Cloud
  • 本地全文:下载
  • 作者:Dhanya C ; Kannan Subramanian
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:10
  • 出版社:S&S Publications
  • 摘要:By data outsourcing, users can be relieved from the burden of local data storage and maintenance. Thus, enabling dynamic audit for cloud data storage security is of critical importance so that users can resort to an external audit party to check the integrity of outsourced data when needed. A dynamic audit service can be used for verifying the integrity of untrusted and outsourced storage. Our audit service, constructed based on the techniques, fragment structure, random sampling and index-hash table, can support provable updates to outsourced data, and timely abnormal detection. In addition, we propose an efficient approach based on probabilistic query and periodic verification for improving the performance of audit services. Our experimental results not only validate the effectiveness of our approaches, but also show our audit system has a lower computation overhead, as well as a shorter extra storage for audit mete -data
  • 关键词:TPA;WalleT;D ynamic audit
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