基于匹配热度的混合模式匹配方法研究

Research on a Hybrid Pattern Matching Method Based on Matching Heat

随着军工领域信息化体系的持续推进,越来越多的网络应用部署到军工内网中,信息化的发展使得军工领域的工作效率大幅提升,但与此同时信息安全保密问题却日益突出。模式匹配算法是入侵检测、应用防火墙、态势感知系统等安全软件的基础,模式匹配的效率直接影响整个内网安全防护系统的性能。本文研究了目前常规的模式匹配算法,并在此基础上提出一种基于匹配热度的混合模式匹配方法,该方法结合改进的BF和AC-BM算法,实验表明,本文所提方法在拥有固定特征较多的数据匹配中,能有效降低模式匹配的时间开销。

With the continuous advancement of the information technology system in the military industry,more and more network applications are deployed in the military intranet.The development of information technology has greatly improved the work efficiency in the military industry,but at the same time,the issue of information security and confidentiality has become increasingly prominent.The pattern matching algorithm is the basis of security software such as intrusion detection,application firewalls,and situation awareness systems.The efficiency of pattern matching directly affects the performance of the entire intranet security protection system.This paper studies the current conventional pattern matching algorithms and proposes a hybrid pattern matching method based on matching heat based on this method.This method combines improved BF and AC-BM algorithms.Experiments show that the proposed method has fixed characteristics In more data matching,the time overhead of pattern matching can be effectively reduced.