DocumentCode :
498816
Title :
A Wireless-LAN security model based on Computer Immunology
Author :
Chang, Zhuo ; He, Qiang ; Zhao, Peng-yuan ; Liu, Jin-song
Author_Institution :
Math. & Comput. Sci., Hebei Univ., Baoding, China
Volume :
4
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
2054
Lastpage :
2057
Abstract :
With the rapid development of network, WLAN, which is being widely applied on various occasions, becomes the hotspot of the marketplace. This paper brings forward a intrusion detection system model named after DWIDS (A Distributed Wireless-LAN Intrusion Detection System Model based on Computer Immunology), which can be used to effectively compensate for the defects of the traditional technology on safety protection. The DWIDS applies the principles of the computer immunology to IDS; that is to say, several different detection agents work coordinately and distributedly in each AP and cooperate with each other to detect intrusions. The self-learning mechanism of the sandbox not only studies the unknown intrusions, but also abstracts the rules and collects the evidence. Nowadays, with the popularization of WLAN, the application of DWIDS undoubtedly improves the safety coefficient of entire network, increases the usage ratio of network, and decreases the fund invested in the safety troubles of enterprises and departments.
Keywords :
security of data; wireless LAN; DWIDS; computer immunology; distributed wireless-LAN intrusion detection system; safety protection; wireless-LAN security model; Communication system security; Computer security; Information security; Intrusion detection; Machine learning; Power system security; Safety; Spread spectrum communication; Wireless LAN; Wireless networks; Computer immunology; IDS; WLAN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212158
Filename :
5212158
Link To Document :
بازگشت