DocumentCode
3349902
Title
An automatic co-stimulation algorithm for LAN artificial immune systems
Author
Zhao Tie-Shan ; Li Zeng-Zhi ; Mao Wan-Biao ; Zhu Jia-Jun
Author_Institution
Grad. Sch. of Comput. Archit. & Network, Xi´an Jiaotong Univ., Xi´an
fYear
2008
fDate
21-24 Sept. 2008
Firstpage
478
Lastpage
481
Abstract
Co-stimulations are very important in LAN AISs, but there are few automatic co-stimulation algorithms or approaches at present, and almost all of co-stimulations are implemented by network-administrators. We try to find an automatic co-stimulation algorithm to replace the administrators in LAN AISs. Detectors employed to detect abnormal packets are called NS-detectors. Detectors employed to detect normal packets are called PS-detectors. Each NS-detector can detect a different kind of potential abnormal packets. Each PS-detector can describe a different kind of normal network behaviors. The NS-detector generation algorithm and the PS-detector generation algorithm are presented first. Based on them, an automatic co-stimulation algorithm for LAN AISs is described in detail. Co-stimulations in LAN AISs can be implemented automatically with the algorithm. The administrators can still implement co-stimulations, but their co-stimulations are not important. The feasibility of the algorithm is illustrated with our experiments in laboratory. Our further work is to illustrate more the feasibility of the algorithm in the Internet environment.
Keywords
Internet; artificial immune systems; local area networks; Internet; LAN AIS; LAN artificial immune systems; NS-detectors; PS-detectors; automatic co-stimulation algorithm; Artificial immune systems; Artificial satellites; Broadcasting; Computer architecture; Detectors; Immune system; Internet; Intrusion detection; Laboratories; Local area networks; NS-detector; PS-detector; algorithm; automatic; co-stimulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-1673-8
Electronic_ISBN
978-1-4244-1674-5
Type
conf
DOI
10.1109/ICCIS.2008.4670778
Filename
4670778
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