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《Journal of Zhejiang University(Engineering Science)》 2006-03
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Grid computing oriented on-demand intrusion detection model

CHEN Rong,GAO Ji,GUO Hang(College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China)  
To solve the problem of lacking dynamic organizing agility in distributed intrusion detection systems,an on-demand intrusion detection model adaptive to the shared data environment was presented.Considering the dynamic sharing and multi-domain integration properties of grid computing,the intrusion detection system consisted of four parts including security estimate system,work flow programming service,data grid environment and detection resource service in the model based on global detection services.By combining the system and node level reconstructions,detection services were ensured from nodes when global detection services of intrusion detection system failed.Results show that compared with the intrusion detection system Snort,the analysis engine program Higen can consume less detection time and user time in local area network(LAN) and wide area network(WAN) experimental environment,and improve the agility of cooperative detection in grid computing.
【Fund】: 国家“973”重点基础研究发展计划资助项目(2003CB1700);; 国家“863”高技术研究发展计划资助项目(2002AA104520)
【CateGory Index】: TP393.08
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