DocumentCode :
3592610
Title :
Intramural Network Intrusion Detection by Monitoring User Behavior
Author :
Zeng, Na ; Zhang, Xiaolong ; Zhang, Hong
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Sci. & Technol., Wuhan, China
Volume :
3
fYear :
2009
Firstpage :
178
Lastpage :
181
Abstract :
A browser behavior monitoring method on the client/server structure was proposed. The method can be used to monitor and manage the behavior of the users on the Internet. A Web browser component of Internet Explorer was embedded with automatic object linking and embedding technology. Through the interface of the Web browser component, Web data records are accessed and written into files using the format of XML that can be used to replay and check the Internet behavior of the client users. The experimental results show that the system can effectively monitor the Internet behaviors, therefore can be used to reduce the aggressive behaviors of the internal network in an organization.
Keywords :
Internet; XML; client-server systems; online front-ends; security of data; Internet; Internet Explorer; Web browser component; XML; automatic object linking; client-server structure; embedding technology; intramural network intrusion detection; user behavior monitoring; Computer architecture; Computerized monitoring; Data processing; Data security; Internet; Intrusion detection; Knowledge acquisition; Machine learning algorithms; Web server; XML; IE; XML; behavior monitoring; insider attacks; socket communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Print_ISBN :
978-0-7695-3888-4
Type :
conf
DOI :
10.1109/KAM.2009.158
Filename :
5362395
Link To Document :
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