Detecting Xebsite Vulnerabilities based on Markov Chains Theory

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 proposed solutions in the literature, actually achieved good results for the detection rate, while there is stillroom for reducing the false positive rate or even predict beforehand attack according to a website visitor behavior. For this purpose we propose a probabilistic approach applied for an "intelligent IDS" whose main role is to tell which pages of a website are subjects to most attacks and eventually present security weaknesses, according to a real time probabilistic calculation based on Markov chains.