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. |
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| 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 |
| ISSN: | 19767277 |
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| DOI: | 10.3837/tiis.2024.02.012 |
