NDLI: Application traffic identification based on remote subnet grouping

Content Provider	IEEE Xplore Digital Library
Author	Jae Yoon Chung Jian Li Yeongrak Choi Hong, J.W.-K.
Copyright Year	2012
Description	Author affiliation: Division of IT Convergence Engineering, Pohang University of Science and Technology, Korea (Yeongrak Choi; Hong, J.W.-K.) \|\| Department of Computer Science and Engineering, Pohang University of Science and Technology, Korea (Jae Yoon Chung; Jian Li)
Abstract	Recently, the number of Internet applications available for use on both desktop computers and smartphones has rapidly increased. The Internet traffic generated by these applications has increased significantly as well. Network operators are required to be aware of the status of managed networks in terms of application usage. However, the application traffic observed in a network is dependent on users and the geographical location of the network. As a result, selecting applications that are expected to appear frequently in the network is required as the initial step in the generation of ground-truth traffic and extraction of classifiers. In this paper, we propose a traffic identification methodology for the initial step of the classifier generation procedure. The proposed approach is based on remote subnet grouping, which refers to the collection of the same (or similar) application traffic. We also validate the proposed methodology in terms of completeness, feasibility, and accuracy by using the traffic in a campus network.
Starting Page	1
Ending Page	8
File Size	466459
Page Count	8
File Format	PDF
ISBN	9781467344944
e-ISBN	9781467344968
e-ISBN	9781467344951
DOI	10.1109/APNOMS.2012.6356066
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-25
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Accuracy Signature Extraction Telecommunication traffic Traffic control Internet Traffic Identification Payloads Traffic Classification
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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