NDLI: Flow classification using clustering and association rule mining

Content Provider	IEEE Xplore Digital Library
Author	Chaudhary, U.K. Papapanagiotou, I. Devetsikiotis, M.
Copyright Year	2010
Description	Author affiliation: Electrical and Computer Engineering, North Carolina State University, Raleigh, USA (Chaudhary, U.K.; Papapanagiotou, I.; Devetsikiotis, M.)
Abstract	Traffic classification has become a crucial domain of research due to the rise in applications that are either encrypted or tend to change port consecutively. The challenge of flow classification is to determine the applications involved without any information on the payload. In this paper, our goal is to achieve a robust and reliable flow classification using data mining techniques. We propose a classification model which not only classifies flow traffic, but also performs behavior pattern profiling. The classification is implemented by using clustering algorithms, and association rules are derived by using the “Apriori” algorithms. We are able to find an association between flow parameters for various applications, therefore making the algorithm independent of the characterized applications. The rule mining helps us to depict various behavior patterns for an application, and those behavior patterns are then fed back to refine the classification model.
Starting Page	76
Ending Page	80
File Size	604765
Page Count	5
File Format	PDF
ISBN	9781424476343
e-ISBN	9781424476350
e-ISBN	9781424476336
DOI	10.1109/CAMAD.2010.5686959
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Clustering algorithms Data models Internet Classification algorithms Association rules IP 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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