A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats
Abstract Insider threats pose a significant challenge to IT security, particularly with the rise of generative AI technologies, which can create convincing fake user profiles and mimic legitimate behaviors. Traditional intrusion detection systems struggle to differentiate between real and AI-generat...
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Main Authors: | Hazem M. Kotb, Tarek Gaber, Salem AlJanah, Hossam M. Zawbaa, Mohammed Alkhathami |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-84673-w |
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