  This paper proposes an integrated sensing, jamming, and communications (ISJC)
framework for securing unmanned aerial vehicle (UAV)-enabled wireless networks.
The proposed framework advocates the dual use of artificial noise transmitted
by an information UAV for simultaneous jamming and sensing of an eavesdropping
UAV. Based on the information sensed in the previous time slot, an optimization
problem for online resource allocation design is formulated to maximize the
number of securely served users in the current time slot, while taking into
account a tracking performance constraint and quality-of-service (QoS)
requirements regarding the leakage information rate to the eavesdropper and the
downlink data rate to the legitimate users. A channel correlation-based
algorithm is proposed to obtain a suboptimal solution for the design problem.
Simulation results demonstrate the security benefits of integrating sensing
into UAV communication systems.
