Title :
Heterogeneous Multi-sensor Information Fusion Model for Botnet Detection
Author :
Hailong, Wang ; Zhenghu, Gong
Author_Institution :
Nat. Univ. of Defense Technol., Changsha, China
Abstract :
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.
Keywords :
computer network security; sensor fusion; software agents; botnet attacks; botnet detection; heterogeneous multisensor information fusion model; information integration; network security; spatial dimensions; temporal dimensions; Automation; Computer networks; Fuses; Information analysis; Information security; Intelligent networks; Intrusion detection; National security; Sensor fusion; Telecommunication traffic; Botnet; Botnet Detection; Heterogeneous Multi-sensor; Information Fusion; Network Security;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.575