The findings suggest that video-based perception is vulnerable to stealthy object removal attacks that can degrade the performance of safety-critical applications by reducing object detectability and can help develop mitigation strategies against adversarial object removal attacks that threaten safety-critical applicat...
M. Hasan, M. Salek, Nathan Jones et al.· 0 citations
This paper develops the first Vision-Language Model (VLM)-based framework for GNSS spoofing detection for autonomous vehicles by fusing front-camera visual data with in-vehicle sensor readings against GNSS-derived maneuvers.
Mohammed Aldeen, Muhammad Sami Irfan, Sagar Dasgupta et al.· arXiv.org· 0 citations
The presented framework can detect and classify GNSS spoofing attacks in real-time while requiring relatively low computational and memory resources, and is therefore suitable for deployment on resource-constrained vehicular computing platforms.
Abyad Enan, Sagar Dasgupta, Mizanur Rahman et al.· 0 citations
A DT-based IDS that jointly models physical relationships among decoded powertrain signals and identifies attacks through residuals between predicted and observed behavior shows promise for detecting stealthy payload-level CAN attacks that preserve normal communication patterns, supporting behavior-based cybersecurity...
Araf Rahman, M. Salek, Mashrur Chowdhury· 0 citations
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