Abstract

The imperfect devices in the practical continuous-variable quantum key distribution (CVQKD) system leave security loopholes that an eavesdropper may exploit. For example, the wavelength attacks can be implemented successfully by utilizing the wavelength-dependent properties of beam splitters (BSs). Eliminating the potential and existing security loopholes is essential for the practical CVQKD system. In this paper, an intelligent monitoring technology based on optical spectrum analysis is proposed for the practical CVQKD system. Through the machine learning-based optical spectrum analysis technique, an abnormal optical spectrum signal can be detected automatically by using the linear discriminant analysis support vector machine (LDA-SVM) algorithm, so as to realize attack detection and intelligent monitoring of the system. Simulation and experimental results show that the original spectral data and the abnormal spectral data after the attack can be accurately identified by the LDA-SVM algorithm, and the trained model can well resist the wavelength attacks.

© 2020 Optical Society of America

Full Article  |  PDF Article
More Like This
Security analysis of practical continuous-variable quantum key distribution systems under laser seeding attack

Yi Zheng, Peng Huang, Anqi Huang, Jinye Peng, and Guihua Zeng
Opt. Express 27(19) 27369-27384 (2019)

Monitoring of continuous-variable quantum key distribution system in real environment

Weiqi Liu, Jinye Peng, Peng Huang, Duan Huang, and Guihua Zeng
Opt. Express 25(16) 19429-19443 (2017)

Practical security of the continuous-variable quantum key distribution with real local oscillators under phase attack

Biao Huang, Yongmei Huang, and Zhenming Peng
Opt. Express 27(15) 20621-20631 (2019)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (6)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (16)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription