DocumentCode
2306834
Title
Design and implementation of intrusion detection based on mobile agents
Author
Mo, Yongquan ; Ma, Yizhong ; Xu, Liang
Author_Institution
Sch. of Inf. Technol. & Eng., Lanzhou Univ., Lanzhou
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
278
Lastpage
281
Abstract
In this paper, we introduced the intrusion detection technology first. Beside of the definition and the common intrusion detection frame (CDIF), we described three methods of the intrusion detection: anomaly detection, misuse detection and hybrid detection. Then we discussed the mobile agent technology. In this part, we mainly introduced three key issues. They are: mobile agentpsilas move, mobile agentpsilas cooperation and mobile agentpsilas security. Because the mobile, autonomous agents have the potential to provide a convenient, efficient and robust programming paradigm for distributed applications, we applied them into the intrusion detection systems, and proposed a new intrusion detection model. This model used the mobile agent as organization unit, combined the distributed idea, fully used the intelligence, mobility, cooperation and heterogeneity of the mobile agents and designed a concurrent structure of the mobile agents. It can detect the intrusions accurately and quickly, thereby overcoming the flaw of the traditional intrusion detection system.
Keywords
mobile agents; security of data; CDIF; anomaly detection; common intrusion detection frame; hybrid detection; intrusion detection technology; misuse detection; mobile agents; Artificial intelligence; Communication system security; Data security; Distributed computing; Event detection; Information analysis; Intelligent agent; Intrusion detection; Mobile agents; Signal analysis; Intrusion Detection; Mobile Agents (MA);
fLanguage
English
Publisher
ieee
Conference_Titel
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-3616-3
Electronic_ISBN
978-1-4244-2511-2
Type
conf
DOI
10.1109/ITME.2008.4743870
Filename
4743870
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