Deep RL for Robust IoT Access Under Smart Jamming Attacks
Analysis
This research investigates the application of hierarchical deep reinforcement learning (HDRL) to improve the resilience of cognitive IoT networks against jamming attacks. The study's focus on a critical security challenge in IoT makes this a valuable contribution.
Key Takeaways
- •Applies Hierarchical Deep Reinforcement Learning (HDRL) to enhance the robustness of cognitive IoT networks.
- •Addresses the security challenge of smart jamming attacks within IoT environments.
- •Focuses on improving network access under adversarial conditions.
Reference
“Hierarchical Deep Reinforcement Learning for Robust Access in Cognitive IoT Networks under Smart Jamming Attacks”