29 citations · 65 across the 27 of their papers we have counts for
29 papers
Beyond Legacy L1 C/A: Characterizing Advanced Multi-Frequency Spoofing Against Multi-Frequency GPS Receivers for Autonomous Navigation
Minhaj Uddin Ahmad, Muhammad Sami Irfan, Sagar Dasgupta +2
Autonomous vehicles increasingly rely on high-end multi-frequency GNSS receivers that track modernized civil signals, such as L2C, L5, and L1C, alongside legacy GPS L1~C/A. Althoug…
LLMSec-AV: A Vulnerability Taxonomy and LLM-Driven Software Weakness Discovery Framework for Autonomous Vehicles
Md. Wasiul Haque, Sagar Dasgupta, Mizanur Rahman
Automated vehicles rely on millions of lines of safety-critical software, yet general-purpose analyzers do not understand which code can affect vehicle motion. This study asks whet…
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.…
LLM-Assisted Dynamic Threat Analysis for Attacker-Reachable Software Weaknesses in Autonomous Vehicles
Md Wasiul Haque, Sagar Dasgupta, Mizanur Rahman +1
Autonomous vehicles depend on large safety-critical software stacks, where weaknesses reachable from adversarial inputs may affect steering, braking, or other control decisions. St…
Treating Statewide CORS Networks as Spatially Distributed Sensors for GNSS Integrity Monitoring under Unintentional and Deliberate Threats
Minhaj Uddin Ahmad, Sagar Dasgupta, Muhammad Sami Irfan +3
State departments of transportation (DOTs) in the United States increasingly rely on statewide continuously operating reference station (CORS) networks to support high-precision Gl…
Deployment Feasibility Analysis of Post-Quantum Digital Signatures in Safety-Critical C-V2X Communication for Urban Mobility Scenario
Akid Abrar, Sagar Dasgupta, Abdullah Al Mamun +4
The transition from the classical ECDSA to PQC creates substantially larger authentication payloads for safety-critical C-V2X sidelink communication. This study determines which NI…
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…
AI-Driven Post-Quantum Cryptography for Cyber-Resilient V2X Communication in Transportation Cyber-Physical Systems
Akid Abrar, Sagar Dasgupta, Mizanur Rahman +1
Transportation Cyber-Physical Systems (TCPS) integrate physical elements, such as transportation infrastructure and vehicles, with cyber elements via advanced communication technol…
Security Vulnerabilities in Software Supply Chain for Autonomous Vehicles
Md Wasiul Haque, Md Erfan, Sagar Dasgupta +2
The interest in autonomous vehicles (AVs) for critical missions, including transportation, rescue, surveillance, reconnaissance, and mapping, is growing rapidly due to their signif…
End-to-End Co-Simulation Testbed for Cybersecurity Research and Development in Intelligent Transportation Systems
Minhaj Uddin Ahmad, Akid Abrar, Sagar Dasgupta +1
Intelligent Transportation Systems (ITS) have been widely deployed across major metropolitan regions worldwide to improve roadway safety, optimize traffic flow, and reduce environm…
Infrastructure-enabled risk assessment of hazardous road conditions on rural roads during inclement weather
Suhala Rabab Saba, Sagar Dasgupta, Mizanur Rahman +5
Rural roadways often expose Commercial Motor Vehicle (CMV) drivers to hazardous conditions, such as heavy fog, rain, snow, black ice, and flash floods, many of which remain unrepor…
Grid2Guide: A* Enabled Small Language Model for Indoor Navigation
Md. Wasiul Haque, Sagar Dasgupta, Mizanur Rahman
Reliable indoor navigation remains a significant challenge in complex environments, particularly where external positioning signals and dedicated infrastructures are unavailable. T…
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…
Vision-Based Localization and LLM-based Navigation for Indoor Environments
Keyan Rahimi, Md. Wasiul Haque, Sagar Dasgupta +1
Indoor navigation remains a complex challenge due to the absence of reliable GPS signals and the architectural intricacies of large enclosed environments. This study presents an in…
Lessons Learned from the Real-World Deployment of Multi-Sensor Fusion for Proactive Work Zone Safety Application
Minhaj Uddin Ahmad, Sagar Dasgupta, Mizanur Rahman +7
Proactive safety systems that anticipate and mitigate traffic risks before incidents occur are increasingly recognized as essential for improving work zone safety. Unlike tradition…
OpenCAMS: An Open-Source Connected and Automated Mobility Co-Simulation Platform for Advancing Next-Generation Intelligent Transportation Systems Research
Minhaj Uddin Ahmad, Akid Abrar, Sagar Dasgupta +1
We introduce OpenCAMS (Open-Source Connected and Automated Mobility Co-Simulation Platform), an open-source, synchronized, and extensible co-simulation framework that tightly coupl…
Unveiling the Stealthy Threat: Analyzing Slow Drift GPS Spoofing Attacks for Autonomous Vehicles in Urban Environments and Enabling the Resilience
Sagar Dasgupta, Abdullah Ahmed, Mizanur Rahman +1
Autonomous vehicles (AVs) rely on the Global Positioning System (GPS) or Global Navigation Satellite Systems (GNSS) for precise (Positioning, Navigation, and Timing) PNT solutions.…
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles
Sagar Dasgupta, Kazi Hassan Shakib, Mizanur Rahman
In this paper, we validate the performance of the a sensor fusion-based Global Navigation Satellite System (GNSS) spoofing attack detection framework for Autonomous Vehicles (AVs).…
Digital Twin Technology Enabled Proactive Safety Application for Vulnerable Road Users: A Real-World Case Study
Erik Rua, Kazi Hasan Shakib, Sagar Dasgupta +2
While measures, such as traffic calming and advance driver assistance systems, can improve safety for Vulnerable Road Users (VRUs), their effectiveness ultimately relies on the res…
Harnessing Digital Twin Technology for Adaptive Traffic Signal Control: Improving Signalized Intersection Performance and User Satisfaction
Sagar Dasgupta, Mizanur Rahman, Ph. D. +2
In this study, a digital twin (DT) technology based Adaptive Traffic Signal Control (ATSC) framework is presented for improving signalized intersection performance and user satisfa…
Towards Transportation Digital Twin Systems for Traffic Safety and Mobility Applications: A Review
Muhammad Sami Irfan, Sagar Dasgupta, Mizanur Rahman
Digital twin (DT) systems aim to create virtual replicas of physical objects that are updated in real time with their physical counterparts and evolve alongside the physical assets…
Reinforcement Learning based Cyberattack Model for Adaptive Traffic Signal Controller in Connected Transportation Systems
Muhammad Sami Irfan, Mizanur Rahman, Travis Atkison +2
In a connected transportation system, adaptive traffic signal controllers (ATSC) utilize real-time vehicle trajectory data received from vehicles through wireless connectivity (i.e…
Improving the Environmental Perception of Autonomous Vehicles using Deep Learning-based Audio Classification
Finley Walden, Sagar Dasgupta, Mizanur Rahman +1
Sense of hearing is crucial for autonomous vehicles (AVs) to better perceive its surrounding environment. Although visual sensors of an AV, such as camera, lidar, and radar, help t…
Audio Analytics-based Human Trafficking Detection Framework for Autonomous Vehicles
Sagar Dasgupta, Kazi Shakib, Mizanur Rahman +2
Human trafficking is a universal problem, persistent despite numerous efforts to combat it globally. Individuals of any age, race, ethnicity, sex, gender identity, sexual orientati…