NDLI: P2P traffic identification based on transfer learning

Content Provider	IEEE Xplore Digital Library
Author	Lin Cai Xiaojun Jing Songlin Sun Hai Huang Na Chen Yueming Lu
Copyright Year	2013
Description	Author affiliation: Key Lab. of Trustworthy Distrib. Comput. & Service, Beijing Univ. of Posts & Telecommun., Beijing, China (Lin Cai; Xiaojun Jing; Songlin Sun; Hai Huang; Na Chen; Yueming Lu)
Abstract	With the rapid development of Internet, a large number of peer networks (Peer-to-Peer) applications rise and are widely used. Because of this, it is more difficult for network operators to manage and monitor their networks in a proper way. To identify the peer networks applications generating the traffic traveling through networks is necessary and if we can identify them sooner, we control them better. In this work, we use the machine learning-based classification method to identify the classes of the flows. According to previous work, we choose transfer learning algorithm to classify the traffic, and improve classified results. Finally we compare and evaluate the classification results in terms of the two metrics such as true positive ratio and time expense. Our experiments show that the machine learning algorithm is an efficient algorithm for traffic identification and is able to build a quick identification system.
Sponsorship	IEEE Comput. Soc.
Starting Page	22
Ending Page	26
File Size	741525
Page Count	5
File Format	PDF
ISBN	9781479912827
DOI	10.1109/GrC.2013.6740374
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Algorithm design and analysis transfer learning Machine learning algorithms Training data Clustering algorithms traffic flow identification Classification algorithms Internet P2P
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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