NDLI: Two-phased network traffic classification method for quality of service management

Content Provider	IEEE Xplore Digital Library
Author	Hirvonen, M. Laulajainen, J.-P.
Copyright Year	2009
Description	Author affiliation: VTT Technical Research Centre of Finland, Oulu, Finland (Hirvonen, M.; Laulajainen, J.-P.)
Abstract	Identification of network traffic is crucial in network management and monitoring purposes. Nowadays port based and payload based classification methods have become inadequate as many applications use dynamically allocated port numbers, masquerade to be another application by using some standard port number or use encryption to avoid detection. Recent studies propose an alternative technique for network traffic classification utilizing statistical characteristics of network flows in classification. Most of these studies focus on classifying flows when flows have finished. This kind of classification is not sufficient for quality of service management purposes, therefore network flows have to be classified as early as possible. This paper introduces a two-phased classification method which is capable of classifying network flows early in the connection and providing a secondary classification phase to improve the classification accuracy. A simple K-Means clustering technique is utilized in both classification phases. The classifier was trained and evaluated using manually generated training and evaluation datasets. According to the results two-phased classifier classified 97.8 % of target applications correctly and was able to detect untrained application flows at high precision. Also individual classification phases produced high overall accuracies and precise detections of unknown traffic.
Starting Page	962
Ending Page	966
File Size	216342
Page Count	5
File Format	PDF
ISBN	9781424429752
DOI	10.1109/ISCE.2009.5157009
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-25
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Telecommunication traffic Quality of service Quality management Payloads Monitoring Cryptography Communication system traffic control Protocols Internet Streaming media Machine Learning Traffic Identification K-Means Clustering
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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