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IEEE Journal of Quantum Electronics

Time-Bin Phase-Encoding Quantum-Secured LiDAR Against Spoofing Attacks

Dong Wang, Liangjiang Zhou, Juan-Ying Zhao, Yibo Zhao

Published Aug 4, 2025• 2 citations
Publisher

Abstract

Robust and secure ranging is essential for numerous light detection and ranging (LiDAR) applications. Traditional LiDAR systems, however, are susceptible to deception jamming, such as intercept-and-resend spoofing attacks, due to their use of classical signals for interrogating non-cooperative targets. While quantum-secured imaging protocols have been proposed to counter these attacks, practical models have been scarce. This paper presents a quantum-secured LiDAR protocol using time-bin phase-encoded quantum states for simultaneous ranging and security assessment. Ranging is done via cross-correlating signals, and security assessment by statistically analyzing error rates. We develop an analytical model to evaluate the system’s resilience against intercept-resend spoofing attacks, demonstrating through numerical simulations that such attacks can be detected with high probability and low false-alarm rates under certain conditions. The scheme is robust against polarization disturbances and phase drifts, and can be implemented using existing technology, signifying its potential in quantum radar applications to improve the security and reliability of optical ranging and imaging systems.

DOI
10.1109/jqe.2025.3595820

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Robust and secure ranging is essential for numerous light detection and ranging (LiDAR) applications. Traditional LiDAR systems, however, are susceptible to deception jamming, such as intercept-and-resend spoofing attacks, due to their use of classical signals for interrogating non-cooperative targets. While quantum-secured imaging protocols have been proposed to counter these attacks, practical models have been scarce. This paper presents a quantum-secured LiDAR protocol using time-bin phase-encoded quantum states for simultaneous ranging and security assessment. Ranging is done via cross-correlating signals, and security assessment by statistically analyzing error rates. We develop an analytical model to evaluate the system’s resilience against intercept-resend spoofing attacks, demonstrating through numerical simulations that such attacks can be detected with high probability and low false-alarm rates under certain conditions. The scheme is robust against polarization disturbances and phase drifts, and can be implemented using existing technology, signifying its potential in quantum radar applications to improve the security and reliability of optical ranging and imaging systems.
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 ranging 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.
Single-photon light detection and ranging (LiDAR) is a key technology for depth imaging through complex environments. Despite recent advances, an open challenge is the ability to isolate the LiDAR signal from other spurious sources including background light and jamming signals. Here we show that a time-resolved coincidence scheme can address these challenges by exploiting spatiotemporal correlations between entangled photon pairs. We demonstrate that a photon-pair-based LiDAR can distill desired depth information in the presence of both synchronous and asynchronous spurious signals without prior knowledge of the scene and the target object. This result enables the development of robust and secure quantum LiDAR systems and paves the way to time-resolved quantum imaging applications.
Single-photon light detection and ranging (LiDAR) is a key technology for depth imaging through complex environments. Despite recent advances, an open challenge is the ability to isolate the LiDAR signal from other spurious sources including background light and jamming signals. Here we show that a time-resolved coincidence scheme can address these challenges by exploiting spatio-temporal correlations between entangled photon pairs. We demonstrate that a photon-pair-based LiDAR can distill desired depth information in the presence of both synchronous and asynchronous spurious signals without prior knowledge of the scene and the target object. This result enables the development of robust and secure quantum LiDAR systems and paves the way to time-resolved quantum imaging applications.
Quantum light detection and ranging (LiDAR) utilizes quantum entanglement and correlation to improve precision, noise resilience and covertness of target detection. Despite recent advances, the development of a quantum LiDAR system that simultaneously achieves high precision and a large measurement range remains challenging. Here, we demonstrate a quantum amplitude-modulated continuous wave LiDAR with micrometer precision achievable via increased acquisition time and meter-scale measurement range. In our demonstration, the signal photons directly illuminate the target, while the idler photons are non-locally modulated with a high-frequency cosine wave and never interact with the target. By leveraging the non-local modulation and the quantum correlation, the target detection is achieved with a precision of 0.64 ±\pm± 0.06 mm within one second over a measurement range of 2-8 m. As the acquisition time is up to 500 s, the system achieves a precision of 29 ± 4 μm\pm\ 4{\ \mathrm{μm}}± 4 μm. Furthermore, our system realizes a 50 times precision improvement over the classical single-photon scheme in a background noise 37 dB stronger than the returned probe photons. With these advantages, our method will open venues for the development of high-precision, long-range, and noise-resilient target detection.
We have built an imaging system that uses a photon's position or time-of-flight information to image an object, while using the photon's polarization for security. This ability allows us to obtain an image which is secure against an attack in which the object being imaged intercepts and resends the imaging photons with modified information. Popularly known as “jamming,” this type of attack is commonly directed at active imaging systems such as radar. In order to jam our imaging system, the object must disturb the delicate quantum state of the imaging photons, thus introducing statistical errors that reveal its activity.
Quantum Lidar is a future technology that can mean different things to different people. To some it means detection and identification of classical-type lidar signals reflected from an illuminated target at or near the single photon level. This is facilitated by advances in semiconductor detector technology that allow highly efficient photocounting. To others it is more stringent, requiring exploitation of covertness associated with being essentially undetectable by the target in a thermal background, whilst allowing the lidar operator to filter her own signal from this noise. Again there is nothing specifically quantum about this. Any source that mimics of the energy rate per bandwidth seen by the illuminated object in the direction of the source can appear covert. In order to exploit quantum optics one can use inherent correlations, whether entangled or otherwise between light beams. Simple correlated optical beams can do this in two ways, perhaps by storing one beam as a reference and later performing correlated detection with the return signal in a phase sensitive manner. This is the “gold standard” for quantum lidar, but will be difficult outside of laboratory situations. In microscopy such phase control might be possible, or perhaps in the radio or microwave region for a quantum radar. Less challenging is a scenario in which an immediate local measurement of one beam conditions the beam sent to the target, allowing the return signal to be sifted from noise more easily. Here we will consider such a simple system, providing a range equation for a basic quantum lidar if it is to be operated covertly or openly. Open operation allows increased quantum signal brightness but also provides a quantum advantage, unspoofability – the lidar operator can in principle recognise their own return signal. We will also provide an analysis of quantum lidar detection based on quantum hypothesis testing and use this to perform Monte Carlo simulation of both target detections and false positive avoidance in a noisy background. The theory will be applied to experimental data.