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基于竞争关联优化的无线网络入侵图谱分类算法
Wireless Network Intrusion Pattern Classification Algorithm Based on the Optimization of the Competition Associated
【摘要】 提出一种基于竞争关联优化的无线网络入侵图谱种类划分方法。在大量检测热点中,通过竞争关系,选取无线网络簇头,利用加入竞争因子的蚁群方法,对无线网络入侵的种类进行分类处理。实验结果表明,利用本文算法能够对无线网络的各种入侵进行图谱分簇处理,从而有效提高无线网络通信的安全性。
【Abstract】 Put forward a kind of competition between optimization based on wireless network intrusion pattern classification method.In a large number of detection of hot,through competition,the wireless network cluster head,using ant colony method to join the competition factor,to classify types of wireless network intrusion.The experimental results show that,using this algorithm to a variety of wireless network intrusion pattern clustering processing,so as to improve the safety of wireless network communication.
【关键词】 蚁群算法;
无线网络;
入侵分类;
【Key words】 ant colony algorithm; wireless network; Invasion of classification;
【Key words】 ant colony algorithm; wireless network; Invasion of classification;
【基金】 河南省科技厅2012年国际合作项目(124300510029)
- 【文献出处】 科技通报 ,Bulletin of Science and Technology , 编辑部邮箱 ,2013年10期
- 【分类号】TP393.08
- 【被引频次】2
- 【下载频次】25