摘要
为了能够检测到无线网络系统中的已知和未知类型的入侵者,提高无线网络系统的安全性,本文提出了动态自适应模板法。该方法的基本思想是原有模板(分类结果)在聚类过程中不断更新,并且允许在聚类分析过程中构成新的模板。实验表明用该方法检测无线网络系统中的新型入侵者,准确率可达到98%。
In order to improve the detection rate of new intruders in wireless network intrusion detection system（IDS）,The dynamic self-adaptation model method is developed in this paper.The basic thought of the method is that original model is updated continuously,and the new model can formed in cluster.Experimental results show that this method is useful and applicable,and the detection right rate of new intruders in Wireless Network can get to 98%.
出处
《网络安全技术与应用》
2011年第9期35-37,77,共4页
Network Security Technology & Application
基金
北京建筑工程学院科学研究基金项目(批准号:100803807)资助
关键词
检测新型入侵者
无线网络
动态自适应模板
Detecting new intrusion
Wireless Networks
Dynamic self-adaptation model
