2 citations · 4 across the 11 of their papers we have counts for
11 papers
Structured Driving-State Narratives for Small Language Model-Based GNSS Spoofing Detection
Abyad Enan, Sagar Dasgupta, Mizanur Rahman +1
Autonomous vehicles (AVs) depend on reliable Global Navigation Satellite System (GNSS) positioning. However, spoofed GNSS signals can induce plausible but incorrect vehicle states.…
In-Vehicle Digital Twin-Based Collision Warning Framework with Sybil Attack Detection
Mohammad Imtiaz Hasan, Abyad Enan, Jean Michel Tine +3
Connected Vehicles (CVs) rely extensively on communication technologies to enable data-driven predictive analyses for enhancing performance and safety. These communication channels…
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…
Precision-Aware Video Compression for Reducing Bandwidth Requirements in Video Communication for Vehicle Detection-Based Applications
Abyad Enan, Jon C Calhoun, Mashrur Chowdhury
Computer vision has become a popular tool in intelligent transportation systems (ITS), enabling various applications through roadside traffic cameras that capture video and transmi…
Real-Time Conflict Prediction for Large Truck Merging in Mixed Traffic at Work Zone Lane Closures
Abyad Enan, Abdullah Al Mamun, Gurcan Comert +4
Large trucks substantially contribute to work zone-related crashes, primarily due to their large size and blind spots. When approaching a work zone, large trucks often need to merg…
Real-World Evaluation of Protocol-Compliant Denial-of-Service Attacks on C-V2X-based Forward Collision Warning Systems
Jean Michel Tine, Mohammed Aldeen, Abyad Enan +3
Cellular Vehicle-to-Everything (C-V2X) technology enables low-latency, reliable communications essential for safety applications such as a Forward Collision Warning (FCW) system. C…
Understanding the Risks of Asphalt Art to the Reliability of Vision-Based Perception Systems
Jin Ma, Abyad Enan, Long Cheng +1
Artistic crosswalks featuring asphalt art, introduced by different organizations in recent years, aim to enhance the visibility and safety of pedestrians. However, their visual com…
GAN-Based Single-Stage Defense for Traffic Sign Classification Under Adversarial Patch
Abyad Enan, Mashrur Chowdhury
Computer vision plays a critical role in ensuring the safe navigation of autonomous vehicles (AVs). An AV perception module facilitates safe navigation. This module enables AVs to…
Quantum Annealing-Enhanced Virtual Traffic Lights and its Evaluation Using a Quantum-in-the-Loop Simulation Testbed
Abyad Enan, M Sabbir Salek, Mashrur Chowdhury +3
Virtual Traffic Light (VTL) is a traffic control method that does not require traffic signal-related infrastructure for roadway intersections. Connected vehicles (CVs) are given ri…
Crash Severity Risk Modeling Strategies under Data Imbalance
Abdullah Al Mamun, Abyad Enan, Debbie A. Indah +3
This study investigates crash severity risk modeling strategies for work zones involving large vehicles (i.e., trucks, buses, and vans) under crash data imbalance between low-sever…
Robust hardware Trojan detection leveraging dual-domain features and stacked ensemble learning
Sefatun-Noor Puspa, Abyad Enan, Reek Majumdar +3
Cyber-physical systems rely on integrated circuits (ICs), making them vulnerable to hardware Trojans that can remain dormant until triggered, causing functional disruption or infor…