A new approach to detect WEB attacks senario in intrusion detection system

Abstract

The tremendous growth of the web-based applications has increased information security vulnerabilities over the Internet. Security administrators use Intrusion-Detection System (IDS) to monitor network traffic and host activities to detect attacks against hosts and network resources. The solutions proposed in the literature actually achieved good results for the detection rate, while there is still room for reducing the false positive rate. To this end, in this paper we propose a model of an IDS based on combination of Markov chain and Naïve Bayes, to reduce the rate of false positive.