基于DFA的入侵检测方法研究

计算机网络安全环境不断恶化,各种网络攻击行为层出不穷,入侵检测技术作为一种主要的网络安全技术引起了人们的广泛关注。伴随着网络对实时性、吞吐量等的更高要求,入侵检测技术的检测效率逐渐成为系统的瓶颈问题。该文提出了一种基于DFA模式匹配引擎的入侵检测方法,该方法利用DFA在模式匹配方面的优越性以提高入侵检测系统的检测效率;之后,该文对该方法进行了相关性能分析。该文的研究将有助于入侵检测技术的不断完善与发展。

A Study of Intrusion Detection Based on DFA

The security environment of computer networks are more and more worsen due to the increasing network attack behaviors.As a major protection technique of the network security,intrusion detection has drawn people＇s attention.As the computer networks require higher real-time and more throughput,the de- tection efficiency of the intrusion detection technique is becoming the network system bottleneck.This paper has presented a intrusion detection method based on the DFA pattern match engine.This method takes the advantage of the DFA in pattern match to increase the detection efficiency.After that,this paper shows the result of performance analysis of the method.The paper will be helpful to improve the intrusion detection techniques.