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InfoResearchPeer-reviewed
IDTD-RL: An Intelligent Dual-Track Defense Risk-Sensitive Reinforcement Learning Framework for Anti-Spoofing in UAV Communications
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Summary
IDTD-RL is a risk-sensitive reinforcement learning framework for anti-spoofing defense in OFDM-based UAV communications, using a conditional value-at-risk objective to balance performance and tail risk. Once spoofing is detected, it switches to a dual-track transmission scheme with phantom rate control. In 3GPP TR 36.777 UMi-AV simulations at 0 dB interference-to-signal ratio, it reached 22.37 Mbps covert throughput, 99.64% SINR compliance, and redirected 89.71% of spoofing energy to a decoy.