Presentation 2010-07-01
A Study on Log Analysis Based on Tendency of IDS Alert Events
Tsuyoshi TODA, Hiroyuki INABA,
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Abstract(in English) With the spread of computer network, important information have been exchanged and managed on a network. However, worm damage and unauthorized access using the system vulnerabilities has been increased. Intrusion detection system (IDS) is a system to inspect the invasion or the precursor by checking the status of a computer and a network. IDS warns a network manager to detect alert events and outputs the log. However, if the manager checked all detected events, it becomes a heavy workload. In this paper, we propose a log analysis method based on tendency of IDS alert events. We introduce a variation criteria that is independent from number of alert events, and determine the alert threshold automatically from the criteria.
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Keyword(in English) Anomaly Detection / IDS Log / Variation criteria / Clustering
Paper # ISEC2010-11,SITE2010-7,ICSS2010-17
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Committee SITE
Conference Date 2010/6/24(1days)
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Registration To Social Implications of Technology and Information Ethics (SITE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Log Analysis Based on Tendency of IDS Alert Events
Sub Title (in English)
Keyword(1) Anomaly Detection
Keyword(2) IDS Log
Keyword(3) Variation criteria
Keyword(4) Clustering
1st Author's Name Tsuyoshi TODA
1st Author's Affiliation Kyoto Institute of Technology()
2nd Author's Name Hiroyuki INABA
2nd Author's Affiliation Kyoto Institute of Technology
Date 2010-07-01
Paper # ISEC2010-11,SITE2010-7,ICSS2010-17
Volume (vol) vol.110
Number (no) 114
Page pp.pp.-
#Pages 6
Date of Issue