NDLI: P2P traffic classification for residential network

Content Provider	IEEE Xplore Digital Library
Author	Thay, Channary Visoottiviseth, Vasaka Mongkolluksamee, Sophon
Copyright Year	2015
Description	Author affiliation: Faculty of Information and Communication Technology, Mahidol University, Nakhon Pathom, Thailand (Thay, Channary; Visoottiviseth, Vasaka; Mongkolluksamee, Sophon)
Abstract	Excessive bandwidth consuming by peer-to-peer (P2P) applications is one of serious problems in residential networks such as in dorms, apartments and even Small and Medium-sized Enterprises (SMEs) networks which have a limited bandwidth. P2P file sharing and P2P streaming applications usually are the cause of this problem. To share the bandwidth fairly among users, the traffic of these applications needs to be classified and filtered out. However, traditional port-based and payload-based classification will fail when the applications use dynamic ports, port disguise and payload encryption. In this paper, we present the classification technique that based on characteristics of number of peer connection and number of traffic in both incoming and outgoing direction for 5-minute duration to classify the P2P traffic. We make use of decision tree J48 to model and classify the traffic. Experimental results over three well-known P2P applications (BitTorrent, Skype and SopCast) confirm that this technique can detect the existence of P2P traffic from the background traffic with 100% accuracy and can classify three types of P2P applications with 90% accuracy.
Starting Page	1
Ending Page	6
File Size	1340420
Page Count	6
File Format	PDF
e-ISBN	9781467378253
DOI	10.1109/ICSEC.2015.7401433
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-23
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision-tree j48 Protocols Ports (Computers) Bandwidth Application identification Feature extraction Traffic classification Peer-to-peer computing Internet Payloads Peer-to-peer application
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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