NDLI: Internet traffic classification using feed-forward neural network

Content Provider	IEEE Xplore Digital Library
Author	Wengang Zhou Leiting Dong Bic, L. Mingtian Zhou Leiting Chen
Copyright Year	2011
Description	Author affiliation: School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China, 610054 (Wengang Zhou; Mingtian Zhou; Leiting Chen) \|\| Donald Bren School of Information & Computer Sciences, University of California, Irvine, CA 92697, USA (Bic, L.) \|\| Henry Samueli School of Engineering University of California, Irvine, CA 92697, USA (Leiting Dong)
Abstract	Many network activities can benefit from accurate traffic classification and categorization, such as QOS control, network security monitoring, and traffic accounting. In this paper, a new approach based on feed-forward neural network is proposed for accurate traffic classification, which eliminates the disadvantages of port-based or payload-based classification methods. Extensive experimentation and comparison have been carried out to explore this new approach; it has been found out that, combined with a fast correlation-based feature selection filter, better performance and more accurate classification results can be obtained using neural network method compared to other techniques. For its good performance and elimination of accessing the contents of the packets, the proposed technique is expected to have a promising application prospect in internet traffic classification.
Starting Page	641
Ending Page	646
File Size	247868
Page Count	6
File Format	PDF
ISBN	9781457706028
e-ISBN	9781457706035
e-ISBN	9781457706011
DOI	10.1109/ICCPS.2011.6092257
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Accuracy Correlation Neurons Educational institutions Internet Biological neural networks
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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