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Main Authors: Wang, Dong, Zhao, Juan-Ying, Wang, Ya-Chao, Zhou, Liang-Jiang, Zhao, Yi-Bo
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2308.12171
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author Wang, Dong
Zhao, Juan-Ying
Wang, Ya-Chao
Zhou, Liang-Jiang
Zhao, Yi-Bo
author_facet Wang, Dong
Zhao, Juan-Ying
Wang, Ya-Chao
Zhou, Liang-Jiang
Zhao, Yi-Bo
contents 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 spoofing attack can be detected with a high probability at a low false-alarm rate. Furthermore, the proposed method can be implemented using currently available technology, highlighting its feasibility and practicality in real-world applications.
format Preprint
id arxiv_https___arxiv_org_abs_2308_12171
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Quantum secured LiDAR with Gaussian modulated coherent states
Wang, Dong
Zhao, Juan-Ying
Wang, Ya-Chao
Zhou, Liang-Jiang
Zhao, Yi-Bo
Quantum Physics
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 spoofing attack can be detected with a high probability at a low false-alarm rate. Furthermore, the proposed method can be implemented using currently available technology, highlighting its feasibility and practicality in real-world applications.
title Quantum secured LiDAR with Gaussian modulated coherent states
topic Quantum Physics
url https://arxiv.org/abs/2308.12171