基于Snort的BM模式匹配算法的改进  

Improvement of the BM pattern matching algorithm based on Snort

作　　者：姚鑫洋 古春生[1] Yao Xinyang;Gu Chunsheng(Jiangsu University of Technology,Changzhou 213000,China)

机构地区：[1]江苏理工学院,江苏常州213000

出　　处：《无线互联科技》2023年第4期118-120,共3页Wireless Internet Technology

摘　　要：近些年来,很多国家工控系统都遭受到了网络安全攻击,造成了巨大的经济损失。网络入侵检测系统(NIDS)是网络安全的重要组成部分之一,开源入侵检测软件通过活跃的社区和研究者们不断更新来应对这快速发展的网络环境。文章介绍了Boyer-Moore字符串匹配算法,并提出一种改进的BM算法,并基于Snort入侵检测系统实现并验证改进算法,实验表明改进的算法提高了模式匹配效率。In recent years,many countries have suffered cyber security attacks on their industrial control systems,resulting in huge economic losses.Network Intrusion Detection Systems(NIDS)are one of the important components of network security,and open source intrusion detection software is constantly updated by an active community and researchers to cope with this rapidly evolving network environment.This paper introduces the Boyer-Moore string matching algorithm and propose an improved BM algorithm,and implements and verifies the improved algorithm based on the Snort intrusion detection system,and experiments show that the improved algorithm improves the pattern matching efficiency.

关 键 词：入侵检测 BM算法 SNORT 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]