NDLI: Traffic flow management in next generation service provider networks

Content Provider	IEEE Xplore Digital Library
Author	Goss, R. Botha, R.
Copyright Year	2011
Description	Author affiliation: Institute for ICT Advancement & School of ICT, Nelson Mandela Metropolitan University, Port Elizabeth, South Africa (Goss, R.; Botha, R.)
Abstract	For years a number of savvy Internet users have avoided firewalls and traffic engineering measures by directing traffic through ports seemingly unrelated to the application. These ports are those often marked by firewall administrators as “safe” or those given a higher priority on quality of service systems. This problem has been effectively managed by implementing deep packet inspection techniques, giving the administrators a view into the underlying layer 7 protocol of each flow. The reliance on transit payload to be in plain text format in order to reliably match the underlying content has put this method of classification at a major disadvantage. The use of encryption by users to render the contents of a data packet opaque is, therefore, of major concern to network administrators who rely heavily on deep packet inspection. Without the ability to interrogate the underlying payload of traffic flows, a new method to identify this type of traffic needs to be discovered in order to retain control of the network. As an increasing number of users turn to IP tunneling to secure their data transfers, network service providers need to ensure their systems are ready to handle this type of traffic. A failure to do so would result in them facing the reality of a badly managed network. This paper highlights the challenges faced by network service providers in opaque traffic classification for both existing and future, next generation networks. It investigates and evaluates the various solutions implemented in order to manage network traffic “in the dark”.
Starting Page	1
Ending Page	6
File Size	169560
Page Count	6
File Format	PDF
ISBN	9781457714818
e-ISBN	9781457714832
DOI	10.1109/ISSA.2011.6027529
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-15
Publisher Place	South Africa
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Service Providers Protocols Machine learning algorithms Deep Packet Inspection IPv6 VPN Internet Encryption IP networks Network Flow Classification Payloads
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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