Eavesdropping Detection and Localization in WDM Optical System
Paper in proceeding, 2023

Leveraging our initial work on detecting eavesdropping events in WDM optical systems [1], we propose a mechanism that utilizes bisecting k-means on dynamic optical performance monitoring (OPM) data to initialize the detection. We develop a method to detect and localize single and multiple eavesdropping events in WDM optical systems. Very small losses caused by eavesdropping can be detected using OPM data collected at the receiver, while the in-line OPM data enables localizing single and multiple eavesdropping events.

machine learning

eavesdropping

power

Author

Haokun Song

Rui Lin

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Lena Wosinska

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Paolo Monti

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Yajie Li

Jie Zhang

Proceedings - 2022 IEEE Future Networks World Forum, FNWF 2022

IEEE Future Networks World Forum (FNWF)
Baltimore,MD, USA,

Providing Resilient & secure networks [Operating on Trusted Equipment] to CriTical infrastructures (PROTECT)

VINNOVA (2020-03506), 2021-02-01 -- 2024-01-31.

Subject Categories

Computer Engineering

Communication Systems

Computer Systems

Areas of Advance

Information and Communication Technology

More information

Created

1/31/2024