Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing

S Salehi, H Zhou, M Elsayed, M Bavand… - … Machine Learning in …, 2024 - ieeexplore.ieee.org
Network slicing is a pivotal paradigm in wireless networks enabling customized services to
users and applications. Yet, intelligent jamming attacks threaten the performance of network …

Deep reinforcement learning for power control in next-generation wifi network systems

Z El Jamous, K Davaslioglu… - MILCOM 2022-2022 …, 2022 - ieeexplore.ieee.org
This paper presents a deep reinforcement learning (DRL) solution for power control in
wireless communications, describes its embedded implementation with WiFi transceivers for …

Phantom Guard: An MDP-Based Anti-Jamming Defense Strategy for Military 5G Networks

MH Ashik, M Hossain, J Twigg… - MILCOM 2024-2024 …, 2024 - ieeexplore.ieee.org
The 5G technology marks a significant milestone in the evolution of mobile networks,
offering enhanced capabilities and performance compared to its predecessors. It is also a …

Malware-Induced Data Disturbance: A LeNet Perspective with FGSM and PGD

H Katragadda, SB Priya - 2024 Fourth International Conference …, 2024 - ieeexplore.ieee.org
Malware, as a pervasive cyber threat, jeopardizes both digital infrastructure security and the
broader societal functioning and safety. This paper investigates the resilience of the LeNet …