NDLI: Application-based feature selection for Internet traffic classification

Content Provider	IEEE Xplore Digital Library
Author	En-Najjary, T. Urvoy-Keller, G. Pietrzyk, M. Costeux, J.-L.
Copyright Year	2010
Description	Author affiliation: Orange Labs, France (Pietrzyk, M.; Costeux, J.-L.) \|\| Eurecom, France (En-Najjary, T.; Urvoy-Keller, G.)
Abstract	Recently, several statistical techniques using flow features have been proposed to address the problem of traffic classification. These methods achieve in general high recognition rates of the dominant applications and more random results for less popular ones. This stems from the selection process of the flow features, used as inputs of the statistical algorithm, which is biased toward those dominant applications. As a consequence, existing methods are difficult to adapt to the changing needs of network administrators that might want to quickly identify dominant applications like p2p or HTTP based applications or to zoom on specific less popular (in terms of bytes or flows) applications on a given site, which could be HTTP streaming or Gnutella for instance. We propose a new approach, aimed to address the above mentioned issues, based on logistic regression. Our technique can automatically select distinct, per-application features that best separate each application from the rest of the traffic. In addition, it has a low computation cost and needs only to inspect the first few packets of a flow to classify it, which means that it can be implemented in real time. We exemplify our method using two recent traces collected on two ADSL platforms of a large ISP.
Starting Page	1
Ending Page	8
File Size	301304
Page Count	8
File Format	PDF
ISBN	9781424488377
e-ISBN	9781424488360
e-ISBN	9781424488353
DOI	10.1109/ITC.2010.5608734
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-07
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Protocols Electric breakdown Games Mathematical model Equations Logistics
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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