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- W2181839764 abstract "this paper, we propose database intrusion detection mechanism to enhance the security of DBMS. In a typical database environment, it is possible to define the profile of transactions that each user is allowed to execute. In our approach, we use the transactions profile and overall system architecture is divided into two parts, learning phase and intrusion detection phase. The learning phase generates authorized transactions profile automatically and is used at detection phase to check the behaviour of executable transactions. We also implement the detection phase with the help of Counting Bloom Filter (CBF) and comparing both the approaches." @default.
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- W2181839764 date "2011-12-28" @default.
- W2181839764 modified "2023-09-23" @default.
- W2181839764 title "Design and Implementation of Database Intrusion Detection System for Security in Database" @default.
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