Abstract

Intrusion detection system (IDS) is a kind of security management model that can be installed in computers and networks. IDS gather information from the network and computer and analyses it to find the possible security breaches into the system, which contain both intrusions and misuse. If we see modern IDS they also have few vulnerabilities, these systems also have drawbacks of false detection. So we aim to make a new model which can decrease the possibilities of false detection. In this paper we have done a survey of different algorithm used in intrusion detection system and then designed a new model that will use correlation based feature selection algorithm and SVM. This model will be tested on KDDCup99 dataset.

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