A new approach to forecasting Internet worms based on netlike association analysis
Sihan Qing · Journal of China Institute of Communications · 2004
This paper presents a new approach to forecasting the Internet worm infection based on netlike association analysis after analyzing the behavior pattern of Internet worms, and explores their forecast mechanism we design two forecasting algorithms. An Internet worm forecasting model is established and a prototype based on forecasting algorithms is given. At last, we present the related experimental data and analysis results by using our approach. Comparing with the existing methods, our approach becomes more efficient, and has the characteristic of detecting the unknown Internet worms.