A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout

A dual-stage deep learning approach for robust detection and identification of hardware trojans using monte-carlo dropout

<p dir="ltr">Hardware Trojans (HTs) pose a significant threat to the integrity and security of integrated circuits, particularly in critical systems where stealthy hardware modifications can lead to catastrophic consequences. Detecting such Trojans through side-channel analysis (SCA)...

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Bibliographic Details
Main Author: Arash Golabi (21841484) (author)
Other Authors: Abdelkarim Erradi (13475740) (author), Ahmed Bensaid (21259505) (author), Abdulla Al-Ali (22502837) (author), Uvais Qidwai (16888698) (author)
Published: 2025
Subjects:
Information and computing sciences
Cybersecurity and privacy
Machine learning
Hardware trojan detection
Time series analysis
Markov transition field
Convolutional neural networks
Deep neural networks
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