4 citations · 6 across the 11 of their papers we have counts for
11 papers
On the Thermal Vulnerability of 3D-Stacked High-Bandwidth Memory Architectures
Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed A. Badawy +1
3D-stacked High Bandwidth Memory (HBM) architectures provide high-performance memory interactions to address the well-known performance challenge, namely the memory wall. However,…
iThermTroj: Exploiting Intermittent Thermal Trojans in Multi-Processor System-on-Chips
Mehdi Elahi, Mohamed R. Elshamy, Abdel-Hameed Badawy +1
Thermal Trojan attacks present a pressing concern for the security and reliability of System-on-Chips (SoCs), especially in mobile applications. The situation becomes more complica…
CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs
Mohamed R. Elshamy, Mehdi Elahi, Ahmad Patooghy +1
Efficient thermal and power management in modern multiprocessor systems-on-chip (MPSoCs) demands accurate power consumption estimation. One of the state-of-the-art approaches, Alte…
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…
Cluster-BPI: Efficient Fine-Grain Blind Power Identification for Defending against Hardware Thermal Trojans in Multicore SoCs
Mohamed R. Elshamy, Mehdi Elahi, Ahmad Patooghy +1
Modern multicore System-on-Chips (SoCs) feature hardware monitoring mechanisms that measure total power consumption. However, these aggregate measurements are often insufficient fo…
TrojanForge: Generating Adversarial Hardware Trojan Examples Using Reinforcement Learning
Amin Sarihi, Peter Jamieson, Ahmad Patooghy +1
The Hardware Trojan (HT) problem can be thought of as a continuous game between attackers and defenders, each striving to outsmart the other by leveraging any available means for a…
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…