Presentation	2007-10-25 A Study on Prediction of Internet Traffic Variation using Statistics Information Yoshiaki HARADA, Koji OKAMURA,
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Abstract(in English)	This paper analyzed the statistical information to assess the traffic behaivior in Internet. There is a problem with statistics analysis that it is impossible to anomaly detection in real time, but we can forecast a change in Internet traffic by the detailed analysis. We used the collected Flow Data stored in Hard Disk in Kyushu Univ. as statistics, and analyze the traffic behaivior by dividing Flow Data by port number, AS number, and country. In this paper, we show the tendency of Internet traffic in nomal traffic and some outage.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Flow Data / AS / Flow Analysis / Anomaly Detection
Paper #	IA2007-33
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Conference Information
Committee	IA
Conference Date	2007/10/18(1days)
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Paper Information
Registration To	Internet Architecture(IA)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	A Study on Prediction of Internet Traffic Variation using Statistics Information
Sub Title (in English)
Keyword(1)	Flow Data
Keyword(2)	AS
Keyword(3)	Flow Analysis
Keyword(4)	Anomaly Detection
1st Author's Name	Yoshiaki HARADA
1st Author's Affiliation	Graduate School of Information Science and Electrical Engineering (ISEE), Kyushu University()
2nd Author's Name	Koji OKAMURA
2nd Author's Affiliation	Research Institute for Information Technology, Kyushu University
Date	2007-10-25
Paper #	IA2007-33
Volume (vol)	vol.107
Number (no)	280
Page	pp.pp.-
#Pages	6
Date of Issue