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This paper proposes an integrated sensing, navigation, and communication(ISNC) framework for safeguarding unmanned aerial vehicle (UAV)-enabledwireless networks against a mobile eavesdropping UAV (E-UAV). To cope with themobility of the E-UAV, the proposed framework advocates the dual use ofartificial noise transmitted by the information UAV (I-UAV) for simultaneousjamming and sensing to facilitate navigation and secure communication. Inparticular, the I-UAV communicates with legitimate downlink ground users, whileavoiding potential information leakage by emitting jamming signals, andestimates the state of the E-UAV with an extended Kalman filter based on thebackscattered jamming signals. Exploiting the estimated state of the E-UAV inthe previous time slot, the I-UAV determines its flight planning strategy,predicts the wiretap channel, and designs its communication resource allocationpolicy for the next time slot. To circumvent the severe coupling between thesethree tasks, a divide-and-conquer approach is adopted. The online navigationdesign has the objective to minimize the distance between the I-UAV and apre-defined destination point considering kinematic and geometric constraints.Subsequently, given the predicted wiretap channel, the robust resourceallocation design is formulated as an optimization problem to achieve theoptimal trade-off between sensing and communication in the next time slot,while taking into account the wiretap channel prediction error and thequality-of-service (QoS) requirements of secure communication. Simulationresults demonstrate the superior performance of the proposed design comparedwith baseline schemes and validate the benefits of integrating sensing andnavigation into secure UAV communication systems.

Integrated Sensing, Navigation, and Communication for Secure UAV Networks with a Mobile Eavesdropper