Web attack detection using chromatography-like entropy analysis

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dc.contributor.authorWatcharapupong, Akkradach
dc.contributor.authorThreepak, Thanunchai
dc.date.accessioned2026-08-06T10:10:49Z
dc.date.available2026-08-06T10:10:49Z
dc.date.issued2015-01-01
dc.description.abstractWeb services are mostly attacked in various ways directly and indirectly. We calculate the Shannon entropy from web server log files, especially access logs, and then estimate the entropy distance to detect intrusions and identified them by distinct attack word lists as general, cross-site script, and SQL injection attacks. The experiment shows that our proposed chromatography-like entropy analysis method can detect and identify these behaviors.
dc.identifier.citationAdvances in Intelligent Systems and Computing, 361, 173-182, 2015
dc.identifier.doi10.1007/978-3-319-19024-2_18
dc.identifier.issn21945357
dc.identifier.other2-s2.0-84931273077
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/6050
dc.sourceAdvances in Intelligent Systems and Computing
dc.subjectAnomaly Detection
dc.subjectDatabase Security
dc.subjectEntropy Analysis
dc.subjectWeb Security
dc.titleWeb attack detection using chromatography-like entropy analysis
dc.typeArticle

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