NDLI: Inferring Original Traffic Pattern from Sampled Flow Statistics

Content Provider	IEEE Xplore Digital Library
Author	Mori, T. Kawahara, R. Kamiyama, N. Harada, S.
Copyright Year	2007
Description	Author affiliation: NTT Service Integration Labs., NTT Corp., Tokyo (Mori, T.; Kawahara, R.; Kamiyama, N.; Harada, S.)
Abstract	Packet sampling has become a practical and indispensable means to measure flow statistics. Recent studies have demonstrated that analyzing traffic patterns is crucial in detecting network anomalies. We may not be able to infer the original traffic patterns correctly from the sampled flow statistics because sampling process wipes out a lot of information about small flows, which play a vital role in determining the characteristics of traffic patterns. In this paper, we first show an example of how the sampling process wipes out the original statistics using measured data. Then, we show empirical examples indicating that the original traffic pattern cannot be inferred correctly even if we use a statistical inference method for incomplete data, i.e., the EM algorithm, for sampled flow statistics. Finally, we show that additional information about the original flow statistics, the number of unsampled flows, is helpful in tracking the change in original traffic patterns using sampled flow statistics
Sponsorship	IEEE CPS
Starting Page	85
Ending Page	85
File Size	212129
Page Count	1
File Format	PDF
ISBN	0769527574
DOI	10.1109/SAINT-W.2007.51
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-01-15
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Statistics Sampling methods Telecommunication traffic Pattern analysis Inference algorithms Statistical analysis Frequency Spine Entropy Laboratories
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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