# Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey

arXiv: https://arxiv.org/abs/2101.00292 · HTML: https://mlsanity.com/paper/2101.00292/

## Key facts

- Cited by 30 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Jan 2021.

## Built on by (most cited first, 30 of 30)

- [Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey](https://mlsanity.com/paper/2405.20024/) (2024)
- [PIDLoc: Cross-View Pose Optimization Network Inspired by PID Controllers](https://mlsanity.com/paper/2503.02388/) (2025)
- [Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation](https://mlsanity.com/paper/2410.10521/) (2024)
- [MoCom: Motion-based Inter-MAV Visual Communication Using Event Vision and Spiking Neural Networks](https://mlsanity.com/paper/2510.14770/) (2025)
- [DT-DDNN: A Physical Layer Security Attack Detector in 5G RF Domain for CAVs](https://mlsanity.com/paper/2403.02645/) (2024)
- [Detecting 5G Narrowband Jammers with CNN, k-nearest Neighbors, and Support Vector Machines](https://mlsanity.com/paper/2405.09564/) (2024)
- [One-Class Classification as GLRT for Jamming Detection in Private 5G Networks](https://mlsanity.com/paper/2405.09565/) (2024)
- [SafeCoop: Unravelling Full Stack Safety in Agentic Collaborative Driving](https://mlsanity.com/paper/2510.18123/) (2025)
- [Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication Systems](https://mlsanity.com/paper/2311.00207/) (2023)
- [A Two-Stage CAE-Based Federated Learning Framework for Efficient Jamming Detection in 5G Networks](https://mlsanity.com/paper/2501.15288/) (2025)
- [Graph Neural Networks for Jamming Source Localization](https://mlsanity.com/paper/2506.03196/) (2025)
- [Multi-Agent Adversarial Attacks for Multi-Channel Communications](https://mlsanity.com/paper/2201.09149/) (2022)
- [Achieving Hiding and Smart Anti-Jamming Communication: A Parallel DRL Approach against Moving Reactive Jammer](https://mlsanity.com/paper/2502.02385/) (2025)
- [Fast Adaptive Anti-Jamming Channel Access via Deep Q Learning and Coarse-Grained Spectrum Prediction](https://mlsanity.com/paper/2502.04963/) (2025)
- [MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments](https://mlsanity.com/paper/2503.01324/) (2025)
- [A Demonstration of Self-Adaptive Jamming Attack Detection in AI/ML Integrated O-RAN](https://mlsanity.com/paper/2510.09706/) (2025)
- [SAJD: Self-Adaptive Jamming Attack Detection in AI/ML Integrated 5G O-RAN Networks](https://mlsanity.com/paper/2511.17519/) (2025)
- [Jamming Detection in Cell-Free MIMO with Dynamic Graphs](https://mlsanity.com/paper/2601.06075/) (2025)
- [Perception with Guarantees: Certified Pose Estimation via Reachability Analysis](https://mlsanity.com/paper/2602.10032/) (2026)
- [Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine](https://mlsanity.com/paper/2603.07336/) (2026)
- [Joint Interference Detection and Identification via Adversarial Multi-task Learning](https://mlsanity.com/paper/2604.08607/) (2026)
- [Toward Resilient 5G Networks: Comparative Analysis of Federated and Centralized Learning for RF Jamming Detection](https://mlsanity.com/paper/2605.01705/) (2026)
- [Jamming-Resilient PRB Reservation for Latency-Critical O-RAN Network Slicing](https://mlsanity.com/paper/2605.30622/) (2026)
- [Spatially Distributed Task-Oriented Compression for Multi-Emitter Localization and Characterization with Spectral Overlap](https://mlsanity.com/paper/2606.01446/) (2026)
- [CITADEL: CSI-Based Jamming Detection and Open-Set Classification for IIoT Networks](https://mlsanity.com/paper/2606.22939/) (2026)
- [Brownian Bridge Diffusion-Based Joint Channel Estimation and Data Detection for Jamming-Resilient Receivers](https://mlsanity.com/paper/2606.28778/) (2026)
- [The S-ICDF Dataset: Sionna-Simulated Dynamic Interference Characterization and Direction Finding](https://mlsanity.com/paper/2607.03411/) (2026)
- [RF Spectrogram Anomaly Detection with Quantum Kitchen Sinks: Architecture, Representation, and Hardware Validation](https://mlsanity.com/paper/2607.13897/) (2026)
- [Inverting Self-Triggered Control: Adversarial Reinforcement Learning for Sparse Denial-of-Service Attacks](https://mlsanity.com/paper/2609.12016/) (2026)
- [Co-Evolving Zero-Day Jamming: Adaptive Attack Synthesis and Graph Attention-Based Online Detection](https://mlsanity.com/paper/2609.21334/) (2026)

## Abstract (arXiv)

Wireless networks are a key component of the telecommunications infrastructure in our society, and wireless services become increasingly important as the applications of wireless devices have penetrated every aspect of our lives. Although wireless technologies have significantly advanced in the past decades, most wireless networks are still vulnerable to radio jamming attacks due to the openness nature of wireless channels, and the progress in the design of jamming-resistant wireless networking systems remains limited. This stagnation can be attributed to the lack of practical physical-layer wireless technologies that can efficiently decode data packets in the presence of jamming attacks. This article surveys existing jamming attacks and anti-jamming strategies in wireless local area networks (WLANs), cellular networks, cognitive radio networks (CRNs), ZigBee networks, Bluetooth networks, vehicular networks, LoRa networks, RFID networks, and GPS system, with the objective of offering a comprehensive knowledge landscape of existing jamming/anti-jamming strategies and stimulating more research efforts to secure wireless networks against jamming attacks. Different from prior survey papers, this article conducts a comprehensive, in-depth review on jamming and anti-jamming strategies, casting insights on the design of jamming-resilient wireless networking systems. An outlook on promising antijamming techniques is offered at the end of this article to delineate important research directions.