一种基于本地网络的蠕虫协同检测方法

目前已有一些全球化的网络蠕虫监测方法,但这些方法并不能很好地适用于局域网.为此,提出一种使用本地网协同检测蠕虫的方法CWDMLN(coordinated worm detection method based on local nets).CWDMLN注重分析扫描蠕虫在本地网的行为,针对不同的行为特性使用不同的处理方法,如蜜罐诱捕.通过协同这些方法给出预警信息,以揭示蠕虫在本地网络中的活动情况.预警信息的级别反映报警信息可信度的高低.实验结果表明,该方法可以准确、快速地检测出入侵本地网络的扫描蠕虫,其抽取出的蠕虫行为模式可以为协同防御提供未知蠕虫特征.通过规模扩展,能够实施全球网络的蠕虫监控.

A Coordinated Worm Detection Method Based on Local Nets

There are several global detection methods, but they do not apply to local net. A new cooperative approach to automatic detection of worms using local nets is presented in this paper, which is called CWDMLN (coordinated worm detection method based on local nets). This algorithm focuses on scanning worm characteristics in local nets and uses different methods to cope with different worm behaviors, including using honeypots to deceive worms. CWDMLN coordinates these methods to give graded alarms to notify worm attacks. The grades reflect reliability of alarms. Experimental results show that this approach is promising for it can quickly find worm intrusion in local nets and extract unknown worm signatures that can be used for IDS (intrusion detection system) or firewall to prevent more worm threats. This method can also contribute to global worm alarming by scaling.