1 citations · 2 across the 7 of their papers we have counts for
7 papers
TrojanWhisper: Evaluating Pre-trained LLMs to Detect and Localize Hardware Trojans
Md Omar Faruque, Peter Jamieson, Ahmad Patooghy +1
Existing Hardware Trojans (HT) detection methods face several critical limitations: logic testing struggles with scalability and coverage for large designs, side-channel analysis r…
Unleashing GHOST: An LLM-Powered Framework for Automated Hardware Trojan Design
Md Omar Faruque, Peter Jamieson, Ahmad Patooghy +1
Traditionally, inserting realistic Hardware Trojans (HTs) into complex hardware systems has been a time-consuming and manual process, requiring comprehensive knowledge of the desig…
MATTER: Multi-stage Adaptive Thermal Trojan for Efficiency & Resilience degradation
Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed Badawy +2
As mobile systems become more advanced, the security of System-on-Chips (SoCs) is increasingly threatened by thermal attacks. This research introduces a new attack method called th…
Fine-Grained Clustering-Based Power Identification for Multicores
Mohamed R. Elshamy, Mehdi Elahi, Ahmad Patooghy +1
Fine-grained power estimation in multicore Systems on Chips (SoCs) is crucial for efficient thermal management. BPI (Blind Power Identification) is a recent approach that determine…
The Seeker's Dilemma: Realistic Formulation and Benchmarking for Hardware Trojan Detection
Amin Sarihi, Ahmad Patooghy, Abdel-Hameed A. Badawy +1
This work focuses on advancing security research in the hardware design space by formally defining the realistic problem of Hardware Trojan (HT) detection. The goal is to model HT…
Leveraging Machine Learning for Wi-Fi-based Environmental Continuous Two-Factor Authentication
Ali Abdullah S. AlQahtani, Thamraa Alshayeb, Mahmoud Nabil +1
The traditional two-factor authentication (2FA) methods primarily rely on the user manually entering a code or token during the authentication process. This can be burdensome and t…