Hybrid Intrusion Detection SystemBased on Bayesian Network

Abstract

Now day’s security is the primary concerned in the field of computer science.With quickly growing unauthorized activities in network Intrusion Detection as a part of defense is extremely necessary because traditional firewall techniques cannot provide complete protection against intrusion.The primary goal of an Intrusion Detection System (IDS) is to identify intruders and differentiate anomalous network activity from normal one. Intrusion detection has become a significant component of network security administration due to the enormous number of attacks persistently threaten our computer networks and systems.This paper illustrates the benefit of hybrid intrusion detection system that can detect both known and unknown attacks. The system includes two phases: (1) If the attack is known attack then signature intrusion detection handles and performs appropriate action. (2)If the attack is unknown attack then anomaly intrusion detection use frequent pattern matching process and generate the signature that can handle the next attack. Our proposed system may be more accurate and better performance than traditional intrusion detection system.