Quantum secured LiDAR with Gaussian modulated coherent states
Dong Wang, Juan-Ying Zhao, Ya-Chao Wang, Liang-Jiang Zhou, and Yi-Bo, Zhao

TL;DR
This paper introduces a quantum-secured LiDAR system using Gaussian modulated coherent states, enhancing security against spoofing attacks by detecting excess noise and accurately determining target range.
Contribution
It presents a novel quantum LiDAR protocol that combines range measurement and spoofing detection using Gaussian states, with demonstrated feasibility through numerical simulations.
Findings
High probability of detecting spoofing attacks
Low false-alarm rate in attack detection
Feasible implementation with current technology
Abstract
LiDAR systems that rely on classical signals are susceptible to intercept-and-recent spoofing attacks, where a target attempts to avoid detection. To address this vulnerability, we propose a quantum-secured LiDAR protocol that utilizes Gaussian modulated coherent states for both range determination and spoofing attack detection. By leveraging the Gaussian nature of the signals, the LiDAR system can accurately determine the range of the target through cross-correlation analysis. Additionally, by estimating the excess noise of the LiDAR system, the spoofing attack performed by the target can be detected, as it can introduce additional noise to the signals. We have developed a model for target detection and security check, and conducted numerical simulations to evaluate the Receiver Operating Characteristic (ROC) of the LiDAR system. The results indicate that an intercept-and-recent…
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Taxonomy
TopicsAdvanced Optical Sensing Technologies · Ocular and Laser Science Research · Adversarial Robustness in Machine Learning
