Enhancing Profiles for Anomaly Detection Using Time Granularities
Recently, association rules have been used to generate profiles of normal behavior for anomaly detection. However, the time factor (especially in terms of multiple time granularities) has not been utilized extensively in generation of these profiles. In reality, user behavior during different time i...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2002
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/161 https://ink.library.smu.edu.sg/context/sis_research/article/1160/viewcontent/Enhancing_profiles_for_anomaly_detection_using_time_granularities_2000_pp.pdf |
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| Institution: | Singapore Management University |
| Language: | English |