Title :
A new immunity-based model for network intrusion detection
Author :
Li, Ruifan ; Wang, Cong ; Tu, Xuyan
Author_Institution :
Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., China
Abstract :
Natural immune system has many features for inspirations to computer security. From this paradigm, a new multi-agent model for network-based intrusion detection system is presented. We briefly summarize the main mechanisms of immunology from information processing perspective and concisely review the related works. Moreover, some mechanisms, including cloning with hyper-mutation, affinity maturation, and stigmergy are incorporated to this new model for network intrusion detection. Its conceptual view and working mechanism are described, and its characteristics, autonomous, robust, adaptable, and lightweight, are discussed.
Keywords :
multi-agent systems; security of data; computer security; immunity-based model; multi-agent model; natural immune system; network intrusion detection; Cloning; Computer security; Diseases; Immune system; Information processing; Information security; Intrusion detection; Pathogens; Protection; Signal processing;
Conference_Titel :
Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7803-8812-7
DOI :
10.1109/ICNSC.2005.1461170