"A New Approach of Intrusion Detection System Using Clustering, Classification and Decision Table"

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Provided by: Reed Elsevier
Topic: Security
Format: PDF
"Intrusion Detection System (IDS) plays an important role to achieve higher security in finding or detecting malicious activities over network based as well as host based system for a couple of years. There are different types of intrusion detection system and anomaly intrusion detection is one of them. Currently this is often associated with high false alarm with moderate accuracy and detection rates when it's unable to detect all types of attacks correctly. To overcome this problem, the authors propose a hybrid approach through a combination of three data mining techniques."
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