10 papers
Grover-Based PLS: AUD and Beamforming with Artificial Noise in CD-NOMA
Deemah H. Tashman, Soumaya Cherkaoui
Sixth-Generation (6G) networks will require massive connectivity, ultra-low latency, and robust security, making reliable Active User Detection (AUD) essential for interference con…
Securing the Future of IoMT in the Post-Quantum Era: An Edge-Native Federated Learning Approach
Taym Alshoghri, Deemah H. Tashman, Mohammad Reza Gerami +1
Internet of Medical Things (IoMT) devices operate under strict resource constraints while handling highly sensitive health data, making security and privacy critical concerns. Fede…
When Critics Disagree: Adaptive Reward Poisoning Attacks in RIS-Aided Wireless Control System
Deemah H. Tashman, Soumaya Cherkaoui
Reward-poisoning attacks present a significant risk to learning-based wireless control systems. Given this, we propose a Disagreement-Guided Reward Poisoning (DGRP) adaptive attack…
Adversarial Attacks in AI-Driven RAN Slicing: SLA Violations and Recovery
Deemah H. Tashman, Soumaya Cherkaoui
Next-generation (NextG) cellular networks are designed to support emerging applications with diverse data rate and latency requirements, such as immersive multimedia services and l…
ML-Enabled Open RAN: A Comprehensive Survey of Architectures, Challenges, and Opportunities
Mira Chandra Kirana, Patatchona Keyela, Fatemeh Rostamian +2
As wireless communication systems become more advanced, Open Radio Access Networks (O-RAN) stand out as a notable framework that promotes interoperability and cost-effectiveness. A…
Trustworthy AI-Driven Dynamic Hybrid RIS: Joint Optimization and Reward Poisoning-Resilient Control in Cognitive MISO Networks
Deemah H. Tashman, Soumaya Cherkaoui
Cognitive radio networks (CRNs) are a key mechanism for alleviating spectrum scarcity by enabling secondary users (SUs) to opportunistically access licensed frequency bands without…