Title :
Initialization Method of Gene Library Based on Teiresias Algorithm
Author :
You-xiang, Duan ; Min, Huang ; Jiuyun, Xu
Author_Institution :
Sch. of Comput. & Commun. Eng., China Univ. of Pet. (East China), Dongying
Abstract :
This paper analyses the problems and disadvantages of generating detectors in the current intrusion detection system so as to propose a method that can be applied into Teiresias algorithm to initialize gene library, relating with the ways of generating detectors by using the gene library based on the artificial immune theory. By using Teiresias algorithm to preprocess the non-self data, we can get a more effective variable-length sequence pattern that can reflect the non-self characteristics. Using this pattern, which is relatively independent, complete and meaningful, to initialize the gene library can make the gene library more optimized, and this will greatly improve the efficiency and accuracy of intrusion detection system.
Keywords :
artificial immune systems; biology computing; genetics; security of data; Teiresias algorithm; artificial immune theory; gene library; intrusion detection system; variable-length sequence pattern; Computer networks; Computer security; Detectors; Immune system; Information security; Intrusion detection; Libraries; Organisms; Pattern matching; Wireless communication; gene library; immune system; intrusion detection; teiresias algorithm;
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.2009.119