Anti Jamming

Anti-jamming research focuses on developing strategies and technologies to protect communication systems from intentional interference. Current efforts concentrate on adaptive techniques, employing machine learning models like recurrent neural networks, graph convolutional networks, and deep reinforcement learning, to predict and counteract jamming across various communication platforms, including UAV swarms and federated learning systems. These advancements are crucial for ensuring reliable communication in diverse applications, ranging from minimally invasive surgery to secure wireless networks and autonomous systems, by improving resilience against increasingly sophisticated jamming attacks.