高技术通讯2013，Vol.23Issue(5)：450-455,6.DOI:10.3772/j.issn.1002-0470.2013.05.002
GATS-LSVM:新的网络入侵检测方法
GATS-LSVM: a new network intrusion detection method
摘要
Abstract
Aiming at the shortcomings of existing network intrusion detection approaches,a new network intrusion detection scheme,called the GATS-LSVM algorithm,was proposed.The scheme uses the hybrid genetic algorithm (GA) and tabu search (TS) as the search strategy to specify a candidate subset for evaluation,and then uses the linear support vector machine (LSVM) as the evaluation function to obtain the optimum feature subset by the data classification error rate,so as to boost the detection performance.A series results of the experiment conducted based on the KDD cup 1999 dataset demonstrate that the proposed method has the higher detection rate and lower false alarm rate.Furthermore,the proposed method can reduce computational resources of intrusion detection,improve the detection speed and is more suitable for the real network applications than the traditional ones.关键词
网络入侵检测/遗传算法(GA)/禁忌搜索(TS)/线性支持向量机(LSVM)Key words
network intrusion detection/ genetic algorithm (GA)/ tabu search (TS)/ linear support vector machine(LSVM)引用本文复制引用
李文法,孙连英,刘畅,马小军..GATS-LSVM:新的网络入侵检测方法[J].高技术通讯,2013,23(5):450-455,6.基金项目
863计划(2007AA01Z416),北京联合大学新起点计划(ZK201204)和人才强校计划人才(BPHR2011A04)资助项目. （2007AA01Z416）
