Data Mining-Based Intrusion Detection Systems

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Security
Format: PDF
Intrusion detection systems are designed to detect system attacks and it classifies system activities into normal and abnormal form. Data mining based intrusion detection system model generalizes and detects both known attacks and normal behavior in order to detect unknown attacks and fails to generalize and detect new attack without known signatures. Intrusion detection system faces three types of issues such as accuracy, efficiency and usability. Intrusion detection system is used to detect all kinds of new attacks which can be implemented using machine learning techniques with high accuracy.
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