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
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