Performance Analysis of Real Time Intrusion Detection and Prevention System using Snort

Nowadays Intrusion Detection and Prevention System represents an essential line of defense against variety of web attacks that can compromise with the security and proper functioning of the entire security system. With the evolution of internet, possibilities and opportunities are limitless, unfortunately, so too are the risks and chances of malicious intrusions. Network is interconnection or links, for example network of road, network of computer. Security is the freedom from danger or anxiety so Network Security is about securing and protecting the network (externally and internally) from Distributed Denial of Service attacks, rapidly propagating viruses, selfreplicating worms and other attacks. Network security begins with authorization and authentication. In this paper capturing of network traffic, performance and reports analysis generated by snort and corresponding alert ratio of signatures for the particular attack are to be evaluated. This intrusion detection system is one of the security defense tools for computer networks. In recent years this research has lacked in direction and focus today SNORT stands out as the most widely deployed IDS, We survey the existing techniques, types and architectures of Intrusion Detection Systems in the literature. Performance analysis of real time Intrusion Detection and prevention system and traffic analysis by Snort from the network are to carried out in this paper.