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An Effective Anomaly Detection Approach based on Hybrid Unsupervised Learning Technologies in NIDS.

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Title: An Effective Anomaly Detection Approach based on Hybrid Unsupervised Learning Technologies in NIDS.
Authors: Kangseok Kim1, kangskim@ajou.ac.kr
Source: KSII Transactions on Internet & Information Systems; Feb2024, Vol. 18 Issue 2, p494-510, 17p
Database: Applied Science & Technology Source
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        Value: 10.3837/tiis.2024.02.012
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              Text: Feb2024
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