许晓东 杨甦 朱士瑞
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摘要： 现有的网络蠕虫检测方法大多都是基于包的检测,针对骨干网IP流检测的研究较少，同时也不能很好地描述蠕虫的攻击模式。为此研究了一种在骨干网IP流数据环境下的蠕虫检测方法，通过流活跃度增长系数和目的地址增长系数定位可疑源主机，接着采用基于候选组合频繁模式的挖掘算法(CCFPM),将候选频繁端口模式在FP树路径中进行匹配来发现蠕虫及其攻击特性,实验证明该方法能快速地发现未知蠕虫及其端口扫描模式。
