Intrusion Detection With KNN Classification and DS- Theory

Intrusion detection is a awfully exigent area of research in a current scenario. Now a days find a novel pattern of intrusion and detection of this pattern are exceedingly demanding job. The authors' object is they affect a method for intrusion detection using KNN classification and Dempster theory of evidence. Through these manners they gathered a new revealed pattern of intrusion and classifies Category of pattern and apply event evidence logic with the help of DS- Theory. Finned pattern of intrusion compare with the existing pattern if intrusion and generate a new schema of pattern and update a list of pattern of intrusion detection and improved the true rate of intrusion detection.

Provided by: International Research Association of Computer Science and Technology (IRACST) Topic: Security Date Added: Apr 2012 Format: PDF

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