3 citations · 11 across the 20 of their papers we have counts for
20 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…
Fast Object Removal Attacks on Safety-Critical Video-based Perception Systems
Mohammad Imtiaz Hasan, M Sabbir Salek, Nathan Jones +2
By leveraging data from video-based perception systems, intelligent transportation systems (ITS) support safety-critical applications that improve road safety. However, adversaries…
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…
Post-Quantum Cryptography for Intelligent Transportation Systems: An Implementation-Focused Review
Abdullah Al Mamun, Akid Abrar, Mizanur Rahman +2
As quantum computing advances, the cryptographic algorithms that underpin confidentiality, integrity, and authentication in Intelligent Transportation Systems (ITS) face increasing…
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…
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…
Preparing for Kyber in Securing Intelligent Transportation Systems Communications: A Case Study on Fault-Enabled Chosen-Ciphertext Attack
Kaiyuan Zhang, M Sabbir Salek, Antian Wang +3
Intelligent transportation systems (ITS) are characterized by wired or wireless communication among different entities, such as vehicles, roadside infrastructure, and traffic manag…
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…
Quantum-Inspired Weight-Constrained Neural Network: Reducing Variable Numbers by 100x Compared to Standard Neural Networks
Shaozhi Li, M Sabbir Salek, Mashrur Chowdhury +1
Although quantum machine learning has shown great promise, the practical application of quantum computers remains constrained in the noisy intermediate-scale quantum era. To take a…
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…
Enhancing Transportation Cyber-Physical Systems Security: A Shift to Post-Quantum Cryptography
Abdullah Al Mamun, Akid Abrar, Mizanur Rahman +2
The rise of quantum computing threatens traditional cryptographic algorithms that secure Transportation Cyber-Physical Systems (TCPS). Shor's algorithm poses a significant threat t…
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…
Quantum-inspired activation functions and quantum Chebyshev-polynomial network
Shaozhi Li, M Sabbir Salek, Yao Wang +1
Driven by the significant advantages offered by quantum computing, research in quantum machine learning has increased in recent years. While quantum speed-up has been demonstrated…
An Overview of Automated Vehicle Longitudinal Platoon Formation Strategies
M Sabbir Salek, Mugdha Basu Thakur, Pardha Sai Krishna Ala +5
Automated vehicle (AV) platooning has the potential to improve the safety, operational, and energy efficiency of surface transportation systems by limiting or eliminating human inv…
Leveraging Public Cloud Infrastructure for Real-time Connected Vehicle Speed Advisory at a Signalized Corridor
Hsien-Wen Deng, M Sabbir Salek, Mizanur Rahman +3
In this study, we developed a real-time connected vehicle (CV) speed advisory application that uses public cloud services and tested it on a simulated signalized corridor for diffe…
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
M Sabbir Salek, Abdullah Al Mamun, Mashrur Chowdhury
This study developed a generative adversarial network (GAN)-based defense method for traffic sign classification in an autonomous vehicle (AV), referred to as the attack-resilient…
Development and Evaluation of Ensemble Learning-based Environmental Methane Detection and Intensity Prediction Models
Reek Majumder, Jacquan Pollard, M Sabbir Salek +6
The environmental impacts of global warming driven by methane (CH4) emissions have catalyzed significant research initiatives in developing novel technologies that enable proactive…
Autonomous Vehicles for All?
Sakib Mahmud Khan, M Sabbir Salek, Vareva Harris +3
The traditional build-and-expand approach is not a viable solution to keep roadway traffic rolling safely, so technological solutions, such as Autonomous Vehicles (AVs), are favore…
Theoretical Development and Numerical Validation of an Asymmetric Linear Bilateral Control Model- Case Study for an Automated Truck Platoon
M Sabbir Salek, Mashrur Chowdhury, Mizanur Rahman +2
In this paper, we theoretically develop and numerically validate an asymmetric linear bilateral control model (LBCM). The novelty of the asymmetric LBCM is that using this model al…
Commercial Cloud Computing for Connected Vehicle Applications in Transportation Cyber-Physical Systems
Hsien-Wen Deng, Mizanur Rahman, Mashrur Chowdhury +2
This study focuses on the feasibility of commercial cloud services for connected vehicle (CV) applications in a Transportation Cyber-Physical Systems (TCPS) environment. TCPS impli…