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  • 标题:A New Approach for Finding the Guilt Agent in Dynamic Groups on Cloud Computing
  • 本地全文:下载
  • 作者:Y. Venkateswarlu ; K. Sowrya ; T. Anuradha
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:2
  • 页码:2136-2143
  • 出版社:TechScience Publications
  • 摘要:There is always a risk of data owner’s identity and privacy when data is stored in a untrusted cloud. As the data can be easily accessed by others in the cloud, there is also a risk of data modification or data stealing. To overcome this, a method that encrypts the data before it is stored in the cloud and a technique to find the guilt agent is proposed. This paper also focuses on the dynamic groups that work in organizations that use cloud for their data storage, where a newly joined user can directly decrypt the files stored in the cloud before he joined the cloud. We are also proposing a method using which storage servers as well as unauthorized users cannot learn the content stored in the cloud
  • 关键词:guilt agent; secure cloud computing; dynamic;groups; file log; group key
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