Title :
Immune Mechanism Based Intrusion Detection Systems
Author_Institution :
Dept. of Electron. Eng., Huaihai Inst. of Technol., Lianyungang
Abstract :
Recent years have seen a growing interest in computational methods based upon natural phenomena with biologically inspired techniques. The use of immune mechanisms in intrusion detection is an appealing concept. This paper reviews and assesses the analogy between the human immune system and intrusion detection systems. We show how immune metaphors can be used efficiently to build intrusion detection systems to protect computer networks. The paper concludes that the design of a novel intrusion detection systems based on the human immune system is promising for future intrusion detection systems.
Keywords :
artificial immune systems; computer networks; security of data; biologically inspired techniques; computational methods; computer networks; human immune system; immune mechanism; immune metaphors; intrusion detection systems; natural phenomena; Artificial immune systems; Biological system modeling; Computer networks; Computer security; Data mining; Humans; Immune system; Information security; Intrusion detection; Protection; artificial immune system; immune mechanism; intrusion detection systems;
Conference_Titel :
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-4223-2
DOI :
10.1109/NSWCTC.2009.22
