14 papers
Digital Twin-Based Intrusion Detection for Vehicle Powertrain CAN Bus Systems
Araf Rahman, M Sabbir Salek, Mashrur Chowdhury
Existing automotive intrusion detection systems (IDSs) for the Controller Area Network (CAN) largely target discrepancies in message timing, frequency, or sequencing and cannot det…
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.…
Development of Vision-Language Model-based GNSS Spoofing Detection for Autonomous Vehicle Navigation
Mohammed Aldeen, Muhammad Sami Irfan, Sagar Dasgupta +3
Autonomous vehicles (AVs) depend on Global Navigation Satellite Systems (GNSS) for localization and navigation, making them vulnerable to spoofing attacks that can covertly redirec…
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…
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…
DisPatch: Disarming Adversarial Patches in Object Detection with Diffusion Models
Jin Ma, Mohammed Aldeen, Christopher Salas +4
Object detection is fundamental to various real-world applications, such as security monitoring and surveillance video analysis. Despite their advancements, state-of-the-art object…