DocumentCode :
1870722
Title :
Proactive intrusion detection model based on autonomic computing
Author :
Qingtao Wu ; Lina Zhu ; Jibang Cao ; Ruijuan Zheng
Author_Institution :
Electronic and Information Engineering College, Henan University of Science and Technology, Luoyang, China 471003
fYear :
2012
fDate :
3-5 March 2012
Firstpage :
1601
Lastpage :
1604
Abstract :
To explore the passive detecting mechanism of traditional intrusion detection system, based on autonomic computing, an autonomic proactive intrusion detection model is proposed in this paper. Centered on an autonomic manager, this model introduces an auction mechanism in the agent coordination layer to perceive environmental changes, to manage and allocate resources, and to achieve active intrusion response. Experimental results show that through rational parameter configuration, the model can effectively improve adaptability and detection accuracy of IDS.
Keywords :
Agent coordination; Autonomic computing; Autonomic manager; Intrusion detection; Proactive detection; auction mechanism;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
Type :
conf
DOI :
10.1049/cp.2012.1290
Filename :
6492897
Link To Document :
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