Title :
On the appropriateness of negative selection defined over Hamming shape-space as a network intrusion detection system
Author :
Stibor, Thomas ; Timmis, Jonathan ; Eckert, Claudia
Author_Institution :
Darmstadt Univ. of Technol., Germany
Abstract :
Artificial immune systems have become popular in recent years as a new approach for intrusion detection systems. Indeed, the (natural) immune system applies very effective mechanisms to protect the body against foreign intruders. We present empirical and theoretical arguments, that the artificial immune system negative selection principle, which is primarily used for network intrusion detection systems, has been copied to naively and is not appropriate and not applicable for network intrusion detection systems.
Keywords :
evolutionary computation; security of data; Hamming shape-space; artificial immune system; negative selection; network intrusion detection system; Artificial immune systems; Computer science; Computer worms; Databases; Detectors; Diseases; Immune system; Intrusion detection; Monitoring; Protection;
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN :
0-7803-9363-5
DOI :
10.1109/CEC.2005.1554799