Counteracting a Saturation Attack in Continuous-Variable Quantum Key Distribution Using an Adjustable Optical Filter Embedded in Homodyne Detector

Xu, Shengjie; Li, Yin; Mao, Yun; Guo, Ying

doi:10.3390/e24030383

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…In the actual optical fiber channel, the power of the optical pulse decreases with the transmission distance, so it is difficult to meet the detection requirements of coherent state in long-distance QKD. Additionally, eavesdropper can attack CV-QKD by controlling LO, such as the reported calibration attack [7], saturation attack [8,9], local oscillator jitter attack [10,11], which poses a threat to the security of communication systems. A feasible method is that the signal light and LO light in the system are generated by two independent lasers [12,13], and thus the security loopholes caused by LO transmission in public channel can be avoided.…”

Section: Introductionmentioning

confidence: 99%

Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network

Xing

Ruan

et al. 2022

Photonics

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Phase drift extremely limits the secure key rate and secure transmission distance, which is non-negligible in local oscillation continuous variable quantum key distribution (LLO CV-QKD). In order to eliminate the impact caused by phase drift, we analyze the phase noise of the system and propose a phase compensation method based on convolutional neural network (CNN). Moreover, the compensation is performed on the signal according to the estimated value of phase drift before coherent detection. In numerical simulation, we compare the performance of phase compensation methods based on CNN and Kalman filter (KF), and the results show that CNN-based phase compensation has higher accuracy and stability.

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Section: Introductionmentioning

confidence: 99%

Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network

Xing

Ruan

et al. 2022

Photonics

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Saturation attack on discretely modulated continuous-variable quantum key distribution over an atmospheric turbulence channel

Jiang¹,

zhang²,

Jin³

et al. 2022

J. Opt. Soc. Am. B

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Continuous-variable quantum key distribution (CVQKD) over an atmosphere channel provides the possibility of global coverage, which is threatened by the imperfection of actual devices. Exploiting imperfections of practical devices, an eavesdropper steals the information between legal participants by performing the potential saturation-induced attacks on the homodyne detector. In this paper, we demonstrate the feasibility of the potential saturation attack in discretely modulated (DM) CVQKD over atmospheric turbulence. Subsequently, a countermeasure is suggested by using an adjustable optical filter (AOF) to attenuate the estimated parameter with the measured value in the finite linearity domain, where the attenuated data can be compensated. Numerical simulations illustrate the effects of the saturation attack on the performance of the AOF-based CVQKD system. We find that legal participants evaluate the information that has been eavesdropped because the secret key rate is made negative.

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Counteracting a Saturation Attack in Continuous-Variable Quantum Key Distribution Using an Adjustable Optical Filter Embedded in Homodyne Detector

Cited by 2 publications

References 30 publications

Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network

Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network

Saturation attack on discretely modulated continuous-variable quantum key distribution over an atmospheric turbulence channel

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