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Department of Computer Science and Engineering, University of North Texas, Denton, TX 76201 USA
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Achieving 98.6% detection accuracy in drone swarms while slashing communication costs by 70% reveals a breakthrough in lightweight intrusion detection.
Achieving an F1 score of 0.9091, this framework redefines security for legacy IoT devices by enforcing Zero Trust principles at every communication layer.
Short sequences of legitimate MAVLink messages can trigger catastrophic failures in UAVs by exploiting vulnerabilities in flight-controller dynamics.