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Cross-Technology Signal Detection and Jamming Attack for Heterogeneous Internet of Things
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Summary
Researchers present an intelligent jamming attack framework that uses channel state information (CSI) to identify and disrupt cross-technology communication among Wi-Fi, ZigBee, and BLE in the 2.4 GHz band. A dual-branch LSTM with attention classifies Wi-Fi, ZigBee/BLE, and CTC signals with over 96% accuracy, and a Deep Q-Network optimizes slot-level jamming decisions modeled as a Markov Decision Process. In a real-world 2.4 GHz testbed built on an AC-1200 Wi-Fi network interface card and a TI CC2650 platform, the approach significantly reduced ZigBee/BLE throughput while remaining stealthy.