International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
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  Journal Paper

Paper Title
Design Of An Active Storage Framework For Database Systems

Personal data stored in the Cloud may contain account numbers, passwords, notes, and other important information that could be used and misused by a miscreant, a competitor, or a court of law. These data are cached, copied, and archived by Cloud Service Providers (CSPs), often without users’ authorization, authentication and control. First we are providing security to the client and the server via Kerberos. Kerberos will make sure that only authenticated users are logged in to the system, and in case the user is not authorized or does some sort of intrusion, then Kerberos automatically logs the user out of the system like if the user is a spoofer and changes it’s PC’s IP address, then the Kerberos system monitors this and automatically logs out the user. Also we set the login period, if the login period is over user can not access the account. Kerberos converts the user password in hashing format so that it is difficult to the expert hackers to hacks the password and to access the user data. Second we present SeDas, Self-destructing data mainly aims at protecting the user data’s privacy. All the data and their copies become destructed or unreadable after a user-specified time, without any user intervention. In addition, the decryption key is destructed after the user-specified time. This system that meets this challenge through a novel integration of cryptographic techniques with active storage techniques based on T10 OSD standard. The SeDas is practical to use and meets all the privacy-preserving goals described.

Author - Sarita Deshmukh, Rahul Kapse, Varunakshi Bhojane

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| Published on 2014-11-08
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