works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
most citedRobust hardware Trojan detection leveraging dual-domain features and stacked ensemble learning

1 citations · 1 across the 1 of their papers we have counts for

collaborators

9 papers

cs.CR2026

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…

cs.CR20261 cited

Robust hardware Trojan detection leveraging dual-domain features and stacked ensemble learning

Sefatun-Noor Puspa, Abyad Enan, Reek Majumdar +3

The paper proposes a golden‑chip‑free method for detecting hardware Trojans in integrated circuits by extracting both time‑domain and frequency‑domain features from power side‑chan…

quant-ph2026

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…

cs.CR2026

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…

cs.CR2025

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.OH2025

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…