Research of internet worm warning system based on system identification
Tao ZHOU
Guanzhong DAI
Huimin YE
摘要：The frequent explosion of Internet worms has been one of the most serious problems in cyberspace security.In this paper, by analyzing the worm's propagation model, we propose a new worm warning system based on the method of system identification, and use recursive least squares algorithm to estimate the worm's infection rate. The simulation result shows the method we adopted is an efficient way to conduct Internet worm warning.
机标关键词：system identificationrecursive least squarespropagation modelwarning systeminfection ratemethod of
分类号：O23(控制论、信息论（数学理论）)
论文发表日期：2006-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：4( 409-412 )
英文信息