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  • 标题:Data Integrity Verification by Third Party Auditor in Remote Data Cloud
  • 本地全文:下载
  • 作者:Anne Srijanya. K ; N. Kasiviswanath
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2013
  • 卷号:3
  • 期号:5
  • 页码:188-193
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:Cloud Computing gets its nam e as a metaphor for the internet. It is the next generation platform to provide resources as the services to the end users. In cloud storage system, the clients store their data in the server without keeping a local copy. Clients store their data in the private clouds but when storage expansion is needed they move to public clouds. Security is the major concern in the public clouds. The security mechanisms for private and public clouds are different. It m ay be possible that an unauthorized user can access the data from the public clouds. Hence, it is of critical importance that the client should be able to verify the integrity of the data stored in the remote un-trusted server. There may be security services offered by public clouds but they are not sufficient. In order to address the security issues, Trusted Third Party Auditing (TPA) is used as a service for private and public clouds, which offers various services to check for the integrity of the data. TPA mechanisms offer various auditing m echanisms such as read, write, update to verify the integrity of the data stored in the public clouds. We present such an auditing model based on Merkle Hash Tree. In this work we will conduct a study on possible auditing mechanisms which can be offers as a service over hybrid/public clouds. Such services can be subscribed by the users to verify the integrity of the data stored in the public clouds.
  • 关键词:TPA; Data Storage; Public auditability; Cloud ;Computing; Data Dynam ics
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