The Research Of Intrusion Detection System Based On Pattern Matching

As networks have been popularized, the network security is more and more serious.Security of network technique in the detection technology also become a security area of research organizations and major. The detection technology is a new generation of security techniques and is even more active in protective measures. The detection technology can identify and respond to the computer and network resources is the malicious use behaviour. It is not only detected from the external invasion, but also supervise the internal unauthorized activities.At present, network intrusions detection system (ids) is facing many challenges. How to improve the high speed internet environment of the detection system of inspection and how to lower the detection system failed to miss report are the two most typical questions.This article analyzes detection inefficient about the current intrusions detection technology and proposes several ways of improving efficiency. At present,most of the intrusions detection system is based in pattern matching and Pattern matching algorithm is based on rule which has a direct impact on the timely and accurate. The text analysis the traditional pattern matching algorithm and comes up with Improvement of pattern matching algorithm.The text establishes a system of reference model based on Improvement of pattern matching algorithm which includes capturing data packet module, filtering data packet module, analysis agreement module, pattern matching module and Response system. The system analyes and designs all module. This article in the experiment verifies the improved efficiency of pattern matching and finally pointed out the future of the detection system for research direction.