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Paper Abstract and Keywords
Presentation 2022-10-31 13:00
[Poster Presentation] Network Anomaly Detection Method Based on Communication Volume Changes in Edge Switches
Yuya Nakanishi, Shingo Ata (Osaka City Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Early detection of failures and anomalies that occur in the network and prompt recovery processing are essential for stable network operation. We have been studying an anomaly detection method that focuses on the communication volume of edge switches and uses the communication volume of each day of the week and time as learning data, and have shown that it is possible to identify relatively large network outages due to planned power outages and maintenance. However, in order to detect smaller-scale anomalies earlier, it is necessary to take into account time-series changes in the communication volume of edge switches. In this study, we propose a method for detecting anomalies using edge switch traffic that takes into account changes in the time series and verify that it can detect small-scale anomalies at an earlier stage.
Keyword (in Japanese) (See Japanese page) 
(in English) Campus Networks / traffic data / time-series data / anormaly detection / machine learning / / /  
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Conference Information
Committee RISING  
Conference Date 2022-10-31 - 2022-11-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Terrsa (Day 1), and Online (Day 2, 3) 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RISING 
Conference Code 2022-10-RISING 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Network Anomaly Detection Method Based on Communication Volume Changes in Edge Switches 
Sub Title (in English)  
Keyword(1) Campus Networks  
Keyword(2) traffic data  
Keyword(3) time-series data  
Keyword(4) anormaly detection  
Keyword(5) machine learning  
1st Author's Name Yuya Nakanishi  
1st Author's Affiliation Osaka City University (Osaka City Univ.)
2nd Author's Name Shingo Ata  
2nd Author's Affiliation Osaka City University (Osaka City Univ.)
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Speaker Author-1 
Date Time 2022-10-31 13:00:00 
Presentation Time 45 minutes 
Registration for RISING 
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