关键词: 蠕虫 网络安全 抗差估计 等价权矩阵

Abstract:

The Internet worm is a menace for the security of the Internet users. To detect and defense the Internet worm becomes an important research topic in t he field of Internet security. A robust estimation method for evaluating the worm infection rate is proposed in this paper. The robust estimator of the   worm infection rate is derived based on the robust maximum likelihood estimation principle at firsL The corresponding elements of the equivalent weight matrix constructed by the residuals and some chosen weight functions are given. The error influence functions related to the robust estimation and the l east squares estimation are respectively analyzed. The posterior covarianee matrix and the variance scale are presented. Finally,a simulated example is   performed. It is shown that the robust estimation is effective and reliable in resisting the bad influence of the outlying scan data on the estimated wo rm infection rate with a high comoutation convergence speed.

Key words: worm, network security;robust estimation, equivalent weight matrix