A New Approach for Finding the Guilt Agent in Dynamic Groups on Cloud Computing

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Provided by: International Journal of Computing Science and Information Technology (IJCSIT)
Topic: Cloud
Format: PDF
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.
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