ON APPLICABILITY OF NEURAL NETWORK IN INTRUSION DETECTION AND PREVENTION
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Abstract
Intrusion Detection and Prevention Systems (IDPS) are used to capture anomalies and suspicious activities in the computer networks. IDPS are one of the important security mechanism used for the network security within an organization. There are various tools and techniques that exist in the literature and the market but still there is a need for proposing the robust model for Intrusion Detection. Some of the tools are limited to detect Intrusion in some protocols. However, No such tools exists that can check Intrusion in all the networking protocols. This work gives the systematic literature review of the techniques that are used for Intrusion and Detection using Artificial Neural Networks. Furthermore, Artificial Neural Network based Intrusion detection model is proposed and implemented.
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