5 papers
Communication-Aware Quantum-Inspired Reinforcement Learning for Cyber-Resilient V2X Intrusion Detection and Mitigation
Sajid Anwer, Rohan Farooq, Anwar Shah +1
Smart cities rely on Internet of Vehicles (IoV) networks for critical services. However, this vast connectivity enlarges the attack surface, exposing vehicular systems to evolving…
Amplitude-Belief Reinforcement Learning for Adaptive Cyber Defense in Partially Observable V2X Networks
Anwar Shah, Rohan Farooq, Sajid Anwer +3
The Internet of Vehicles (IoV) creates a partially observable and adversarial V2X communication environment in which malicious vehicles may evade defensive mechanisms. Existing IoV…
Privacy-Preserving Federated Temporal Graph Learning with Digital Twin--Guided Adaptive Deception for Cyber-Resilient IoMT
Syed Zeeshan Haider, Anwar Shah, Muneeb Arif +2
The rapid proliferation of IoT and IoMT devices introduces critical cybersecurity vulnerabilities in healthcare and industrial environments where resource-constrained devices opera…
Federated Temporal Attention Intelligence for Cyber-Resilient IoMT: Lightweight Digital Twins and PPO-Driven Honeypot Deception
Syed Zeeshan Haider, Anwar Shah, Muneeb Arif +2
The rapid proliferation of Internet of Medical Things (IoMT) devices introduces critical cybersecurity vulnerabilities in healthcare environments where resource-constrained medical…
A Fusion-Driven Approach of Attention-Based CNN-BiLSTM for Protein Family Classification -- ProFamNet
Bahar Ali, Anwar Shah, Malik Niaz +3
Advanced automated AI techniques allow us to classify protein sequences and discern their biological families and functions. Conventional approaches for classifying these protein f…