Random resampling algorithms for addressing the imbalanced dataset classes in insider threat detection
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[36] achieved a ROC-AUC for KNN with Over-Sampling of 87%.
“The model achieved the following ROC-AUC results: DT with Under-Sampling as 94%; KNN with Over-Sampling as 87%; KNN + Hybrid-Sampling as 87%.”
From Enhancing Insider Threat Detection in Imbalanced Cybersecurity Settings Using the Density-Based Local Outlier Factor Algorithm (2024) · cites this paper as [36]
[36] achieved a ROC-AUC for KNN + Hybrid-Sampling of 87%.
“The model achieved the following ROC-AUC results: DT with Under-Sampling as 94%; KNN with Over-Sampling as 87%; KNN + Hybrid-Sampling as 87%.”
From Enhancing Insider Threat Detection in Imbalanced Cybersecurity Settings Using the Density-Based Local Outlier Factor Algorithm (2024) · cites this paper as [36]
[36] achieved a ROC-AUC for DT with Under-Sampling of 94%.
“The model achieved the following ROC-AUC results: DT with Under-Sampling as 94%; KNN with Over-Sampling as 87%; KNN + Hybrid-Sampling as 87%.”
From Enhancing Insider Threat Detection in Imbalanced Cybersecurity Settings Using the Density-Based Local Outlier Factor Algorithm (2024) · cites this paper as [36]
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References 49 · Cited by 25
- Authors
- Al-Shehari, T., & Alsowail, R. A.
- Affiliations
- King Saud University (SA)
- Venue
- International Journal of Information Security
- Published
- 2022-12-26
- Volume
- 22
- Issue
- 3
- Pages
- 611-629
- ISSN
- 1615-5262 (ISSN-L)
- 1615-5270
- OpenAlex
- W4312222414
- Cited by
- 25
- References
- 49
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 6 · 2023: 4
- FWCI
- 1.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Journal of Information Security (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Imbalanced Data Classification Techniques
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- insider threat detection, class imbalance, random resampling, data leakage detection, CERT insider threat dataset, cybersecurity
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