Survey on Intrusion Detection Approaches
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Abstract
Intrusion detection is a significant focus of research in the security of Computer Systems and Networks. Even though there is an availability of various mechanisms to detect the Intrusion, due to simple lacking the system could not be able to identify the new type of attacks. Probably the Intrusion Detection System may also give false alarm. This paper presents the various approaches in the development of effective Intrusion Detection Systems for computer systems and Distributed computer networks. The importance of this survey is to build the system of a systematic framework which should be a good model to select the best features and the model should be updated dynamically and thus it can be deployed in a robustly. The system should have high accuracy and capable of detecting any type of attacks efficiently.
Keywords: Intrusion Detection System (IDS), Data Mining, Soft Computing, Agent
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