Comparative evaluation of data imbalance addressing techniques for CNN-based insider threat detection

Comparative evaluation of data imbalance addressing techniques for CNN-based insider threat detection

Abstract Insider threats pose a significant challenge in cybersecurity, demanding advanced detection methods for effective risk mitigation. This paper presents a comparative evaluation of data imbalance addressing techniques for CNN-based insider threat detection. Specifically, we integrate Convolut...

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Bibliographic Details
Main Authors: Taher Al-Shehari, Mohammed Kadrie, Mohammed Nasser Al-Mhiqani, Taha Alfakih, Hussain Alsalman, Mueen Uddin, Syed Sajid Ullah, Abdulhalim Dandoush
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Deep learning
CNN
SMOTE
ADASYN
Data imbalance addressing
Insider threat detection
Online Access:https://doi.org/10.1038/s41598-024-73510-9
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https://doi.org/10.1038/s41598-024-73510-9

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