DocumentCode :
256663
Title :
An Abnormal Network Behavior Detection System Based on Compound Session
Author :
Gang He ; Xiaochen Liu ; Xiaochun Wu ; Decheng Yu
Author_Institution :
Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
2
fYear :
2014
fDate :
26-27 Aug. 2014
Firstpage :
34
Lastpage :
37
Abstract :
In recent years, with the rapid development of the Internet on a global scale and the prompt popularization of various App applications, the Internet is increasingly becoming an integral part of people´s lives. Meanwhile various network problems caused by abnormal network behavior have become more prominent than any time before. Furthermore we also have a lot of personal information on the Internet, which will bring us significant losses if are gave away. For that, to find an effective method to detect the abnormal network behavior is becoming more and more important. This paper first introduces a new detection method based on compound session, and then shows the effectiveness of the proposed method. A further objective of this method is to identify the infected host.
Keywords :
Internet; computer network security; App applications; Internet; abnormal network behavior detection system; compound session; Data acquisition; Data processing; Internet; Ports (Computers); Probes; Standards; Telecommunication traffic; Compound Session; Hadoop platform; Micro meso and macro statistics; periodic behavior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
Type :
conf
DOI :
10.1109/IHMSC.2014.111
Filename :
6911442
Link To Document :
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