Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Optical Fiber Communication Conference

Detection of abnormal activities on a SM or MM fiber

Stefan Karlsson, Mikael Andersson, Rui Lin, Lena Wosinska, Paolo Monti

Published Mar 1, 2023• 0 citations
Publisher

Abstract

We demonstrate eavesdrop detection based on polarization signatures by analyzing polarization state changes at the receiver. We identify changes related to the normal operation and the ones caused by eavesdropping.
DOI
10.23919/ofc49934.2023.10116366

Related papers

Detection of abnormal activities on a SM or MM fiber

Stefan Karlsson, Mikael Andersson, Rui Lin +2 more

We demonstrate eavesdrop detection based on polarization signatures by analyzing polarization state changes at the receiver. We identify changes related to the normal operation and the ones caused by eavesdropping.

Optical Fiber Communication Conference•Jan 1, 2023•7 citations

Physical fiber security by the state of polarization change detection

Adrián Tomašov, Petr Dejdar, Tomáš Horváth +1 more

The main topic of this paper is the detection state of polarization changes to enhance data security in fiber cable paths. The changes are generated by fiber manipulation or movements, which suggest potential security threats. Our designed system detects these changes using a polarization beam splitter and a pair of photodetectors. The values are subtracted from each other, sampled, and sent for analysis. The software detector applies FFT onto the signal and normalizes the output. The last step compares the sum of the bottom eighth of the spectrum against the threshold.

•May 27, 2022•5 citations

Multi-intensity Bending Eavesdropping Detection and Identification Scheme Based on the State of Polarization

Qing Lei, Yajie Li, Haokun Song +4 more

Bending eavesdropping induces fast polarization state transients. We propose a detection scheme for bending eavesdropping, enabling physical layer protection. The accuracy of identifying multi-intensity bending eavesdropping reaches 95.38% by calculating the polarization rotation angular rate.

Opto-Electronics and Communications Conference (OECC)•Jul 2, 2023•3 citations

Fiber Eavesdropping Detection and Location in Optical Communication System

Yuang Li, Yuyuan Liang, Mingrui Zhang +5 more

Fiber eavesdropping severely endangers the confidentiality of data transmitted in optical networks. Therefore, it is necessary to explore how to detect and locate fiber eavesdropping in an effective approach. To leverage the advantages of the state of polarization (SOP) in detecting various abnormal events while addressing its challenges in acquiring the SOP of different fiber links, we propose a multi-channel joint SOP estimation scheme to estimate the SOP of different fiber spans. Based on the proposed scheme, we provide a comprehensive solution for fiber eavesdropping location and detection in optical communication systems. In this solution, the estimated SOP and optical performance monitoring (OPM) data are utilized for rapid fiber eavesdropping detection and coarse location at the span level. The effectiveness of the solution is validated by experiments. In the aspect of detection, we achieve the detection of the start or end of fiber eavesdropping, the overlapping of fiber eavesdropping and abnormal events, and other abnormal events. The overall accuracy is 99.77%. In the aspect of location, we can locate the fiber span that has been eavesdropped.

Photonics•May 16, 2025•7 citations

Experimental study of machine-learning-based detection and location of eavesdropping in end-to-end optical fiber communications

Haokun Song, Yajie Li, Mingzhe Liu +5 more

Optical Fiber Technology•Nov 27, 2021•34 citations

Novel scheme of polarization-modulated ordinary homodyne detection for measuring the polarization state of a weak field

Sun Hyun Youn

Journal of the Korean Physical Society•Jan 1, 2005•2 citations
The main topic of this paper is the detection state of polarization changes to enhance data security in fiber cable paths. The changes are generated by fiber manipulation or movements, which suggest potential security threats. Our designed system detects these changes using a polarization beam splitter and a pair of photodetectors. The values are subtracted from each other, sampled, and sent for analysis. The software detector applies FFT onto the signal and normalizes the output. The last step compares the sum of the bottom eighth of the spectrum against the threshold.
Fiber eavesdropping severely endangers the confidentiality of data transmitted in optical networks. Therefore, it is necessary to explore how to detect and locate fiber eavesdropping in an effective approach. To leverage the advantages of the state of polarization (SOP) in detecting various abnormal events while addressing its challenges in acquiring the SOP of different fiber links, we propose a multi-channel joint SOP estimation scheme to estimate the SOP of different fiber spans. Based on the proposed scheme, we provide a comprehensive solution for fiber eavesdropping location and detection in optical communication systems. In this solution, the estimated SOP and optical performance monitoring (OPM) data are utilized for rapid fiber eavesdropping detection and coarse location at the span level. The effectiveness of the solution is validated by experiments. In the aspect of detection, we achieve the detection of the start or end of fiber eavesdropping, the overlapping of fiber eavesdropping and abnormal events, and other abnormal events. The overall accuracy is 99.77%. In the aspect of location, we can locate the fiber span that has been eavesdropped.