Spoofing resilience for simple-detection quantum illumination LIDAR
Richard J. Murchie, John Jeffers

TL;DR
This paper enhances quantum illumination LIDAR to be resilient against spoofing attacks by characterizing its parameters and quantum states, enabling intrusion detection and maintaining object detection capabilities under noise.
Contribution
It introduces a feasible quantum illumination protocol with spoofing resilience, moving beyond detector data to parameter-based characterization for intrusion detection.
Findings
Quantum illumination offers better spoofing resilience than classical methods.
Certain regimes allow intruders to minimize detection errors with optimal basis angles.
High background noise can prevent spoofing errors while still enabling object detection.
Abstract
Object detection and range finding using a weak light source is vulnerable to jamming and spoofing attacks by an intruder. Quantum illumination with nonsimultaneous, phase-insensitive coincidence measurements can provide jamming resilience compared to identical measurements for classical illumination. We extend an experimentally-feasible object detection and range finding quantum illumination-based protocol to include spoofing resilience. This approach allows the system to be characterised by its experimental parameters and quantum states, rather than just its detector data. Therefore we can scope the parameter-space which provides some spoofing resilience without relying upon the prohibitive method of acquiring detector data for all combinations of the experimental parameters. We demonstrate that in certain regimes the intruder has an optimal relative detection basis angle to minimise…
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