DocumentCode :
473118
Title :
A Cooperation Network Model for Secure Management in Dynamic P2P Flow
Author :
Moon, Yong-Hyuk ; Nah, Jae-Hoon ; Jang, Jong-Soo ; Youn, Chan-Hyun
Author_Institution :
Electron. & Telecommun. Res. Inst., Seoul
Volume :
2
fYear :
2008
fDate :
17-20 Feb. 2008
Firstpage :
1176
Lastpage :
1181
Abstract :
This paper discusses how to identify Peer-to-Peer (P2P) traffic using a blind technique without observing individual payload in the proposed cooperation network model. Traditionally, the payload inspection based traffic identification methodologies have been studied and developed for static internet traffic generated by well-known network applications such as http, ftp, telnet, smtp, etc. However, this approach is inadequate any more to detect and control newly emerging applications using P2P-like or P2P-based communication protocol. Also it strongly depends on the central intrusion detection system or firewall because signature as the prior-knowledge is normally built on that kind of systems. That fact derives three issues: performance overhead, central point of failure, and abnormality handling of traffic. Therefore, we propose the distributed detector strategy using tight cooperation between flow agent and secure gateway for indentifying the dynamic P2P traffic, even encrypted.
Keywords :
computer network management; network servers; peer-to-peer computing; security of data; P2P flow; blind technique; cooperation network model; distributed detector strategy; flow agent; peer-to-peer traffic; secure gateway; secure management; tight cooperation; Communication system control; Communication system traffic control; IP networks; Inspection; Intrusion detection; Payloads; Peer to peer computing; Protocols; Telecommunication traffic; Traffic control; Identification P2P application; P2P network security; P2P traffic detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology, 2008. ICACT 2008. 10th International Conference on
Conference_Location :
Gangwon-Do
ISSN :
1738-9445
Print_ISBN :
978-89-5519-136-3
Type :
conf
DOI :
10.1109/ICACT.2008.4493975
Filename :
4493975
Link To Document :
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