摘要
当前INTERNET蠕虫的频频爆发,使得蠕虫传播成为网络安全的焦点问题。文中结合INTERNET蠕虫的传播模型,提出了通过卡尔曼滤波估计蠕虫的传染率,从而推断网络上是否有新蠕虫传播的INTERNET蠕虫预警系统,并进行了仿真分析。仿真结果表明采用卡尔曼滤波是进行INTERNET蠕虫预警的一种有效方法。
Zou et al proposed an Internet worm warning system based on Kalman filter which needs, in our opinion, to be improved in two respects to be pointed out later. In the full paper, we discuss these two respects in detail; here we can only describe them in general terms. The workflow of the system designed by us consists of four steps; step 3 contains essential details of procedure not mentioned in Ref. 1 and thus improves Ref. 1 in one respect. The mathematics in designing the needed Kalman filter is given in much detail and we correct what we believe to be erroneous in the mathematics of Ref. 1 and thus improve Ref. 1 in another respect. By improving the Internet worm warning system, we can achieve early and accurate estimation by Kalman filter of the worm＇s infection rate, thus ensuring cyberspace security by preventing its quick propagation. Simulation results show that the system improved by us provides an effective way for Internet worm warning.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2006年第1期19-22,共4页
Journal of Northwestern Polytechnical University
关键词
网络安全
蠕虫
卡尔曼滤波
cyberspace security, worm, Kalman filter
作者简介
周涛（1979-），西北工业大学博士生，主要从事网络信息安全的研究。
