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20212026
most citedHybrid Quantum-Classical Neural Network for Incident Detection

5 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

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…

cs.CR2025

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…

cs.CR2025

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…

cs.CR2025★ 1 cited

A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems

M Sabbir Salek, Mashrur Chowdhury, Muhaimin Bin Munir +5

Existing threat modeling frameworks related to transportation cyber-physical systems (CPS) are often narrow in scope, labor-intensive, and require substantial cybersecurity experti…

cs.CR2025★ 2 cited

Cybersecurity in Transportation Systems: Policies and Technology Directions

Ostonya Thomas, M Sabbir Salek, Jean-Michel Tine +3

The transportation industry is experiencing vast digitalization as a plethora of technologies are being implemented to improve efficiency, functionality, and safety. Although techn…

cs.LG2021★ 5 cited

Hybrid Quantum-Classical Neural Network for Incident Detection

Zadid Khan, Sakib Mahmud Khan, Jean Michel Tine +7

The efficiency and reliability of real-time incident detection models directly impact the affected corridors' traffic safety and operational conditions. The recent emergence of clo…