Heterogeneous Multi-sensor Information Fusion Model for Botnet Detection
Wang Hailong, Gong Zhenghu · 2010
With the growing number of botnet attacks, the botnet detection is becoming increasingly important for the network security. Towards the deficiencies of integrating and analyzing the heterogeneous multi-sensor information in existing botnet detection techniques, a novel information fusion model is proposed. The model is designed to carry out information integration of temporal and spatial dimensions based on the idea of information fusion. Furthermore, a representative case is provided in the paper to illustrate that the information fusion model can effectively fuse the complicated information from various sensors, thus to improve detection accuracy and enhance detection.