Presentation 2013-10-22
A Study of Behavioral Anomaly Detection System on Network Application Traffic from Many Sensors
Akira NAGATA, Kohei KOTERA, Katsuichi NAKAMURA, Yoshiaki HORI,
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Abstract(in English) For a computer network in Big data era, we discuss an behavioral anomaly detection system which makes it possible to analyze and immediately detect anomaly traffic bevior. Many sensor devices connect to the network and tend to generate their application traffic at quite a low communication rate. In order to observe necessary traffic information for traffic analysis in a short time, the monitoring system integrates traffic statistics of flows sent from devices which are considered to generate the same application. It detects anomaly traffic behavior on the basis of application analysis using NMF(Non-Negative Matrix Factorization).
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Keyword(in English) Traffic Analsysis / Anomaly Detection / Sensor devices
Paper # IA2013-50
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Committee IA
Conference Date 2013/10/15(1days)
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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 of Behavioral Anomaly Detection System on Network Application Traffic from Many Sensors
Sub Title (in English)
Keyword(1) Traffic Analsysis
Keyword(2) Anomaly Detection
Keyword(3) Sensor devices
1st Author's Name Akira NAGATA
1st Author's Affiliation Network Application Engineering Laboratories Ltd.()
2nd Author's Name Kohei KOTERA
2nd Author's Affiliation Network Application Engineering Laboratories Ltd.
3rd Author's Name Katsuichi NAKAMURA
3rd Author's Affiliation Network Application Engineering Laboratories Ltd.
4th Author's Name Yoshiaki HORI
4th Author's Affiliation Organization for General Education,Saga University
Date 2013-10-22
Paper # IA2013-50
Volume (vol) vol.113
Number (no) 256
Page pp.pp.-
#Pages 4
Date of Issue