From the 1 of 12 linked papers with an AI index.
1 citations · 1 across the 2 of their papers we have counts for
12 papers
Fuzz'EMup: Leveraging EM Side-Channel Emanation to Guide Black-Box Embedded Firmware Fuzzing
Fatemeh Moradihaghighi, Zihao Zhan, Yanan Guo +3
As IoT and embedded devices proliferate across various domains, securing their firmware has become critical. Fuzzing offers a systematic approach to uncovering vulnerabilities in f…
Robust hardware Trojan detection leveraging dual-domain features and stacked ensemble learning
Sefatun-Noor Puspa, Abyad Enan, Reek Majumdar +3
The paper proposes a golden‑chip‑free method for detecting hardware Trojans in integrated circuits by extracting both time‑domain and frequency‑domain features from power side‑chan…
Hidden Risks of Unmonitored GPUs in Intelligent Transportation Systems
Sefatun-Noor Puspa, Mashrur Chowdhury
Graphics processing units (GPUs) power many intelligent transportation systems (ITS) and automated driving applications, but remain largely unmonitored for safety and security. Thi…
Quantum-Classical Hybrid Framework for Zero-Day Time-Push GNSS Spoofing Detection
Abyad Enan, Mashrur Chowdhury, Sagar Dasgupta +1
Global Navigation Satellite Systems (GNSS) are critical for Positioning, Navigation, and Timing (PNT) applications. However, GNSS are highly vulnerable to spoofing attacks, where a…
Transportation Cyber Incident Awareness through Generative AI-Based Incident Analysis and Retrieval-Augmented Question-Answering Systems
Ostonya Thomas, Muhaimin Bin Munir, Jean-Michel Tine +7
Technological advancements have revolutionized numerous industries, including transportation. While digitalization, automation, and connectivity have enhanced safety and efficiency…
GPU in the Blind Spot: Overlooked Security Risks in Transportation
Sefatun-Noor Puspa, Mashrur Chowdhury
Graphics processing units (GPUs) are becoming an essential part of the intelligent transportation system (ITS) for enabling video-based and artificial intelligence (AI) based appli…