Classification of Events Violating the Safety of Physical Layers in Fiber-Optic Network Infrastructures

Abstract

Fiber-optic network infrastructures are crucial for the transmission of data over long and short distances. Fiber optics are also preferred for the infrastructure of in-building data communications. In this study, we use polarization analysis to ensure the security of the optical fiber/cables of the physical layer. This method exploits the changes induced by mechanical vibrations to polarization states, which can be easily detected using a polarization beam splitter and a balancing photodetector. We use machine learning to classify selected events that violate the safety of the physical layer, such as manipulation or temporary disconnection of connectors. The results show the resting state can be accurately distinguished from selected security breaches for a fiber route subjected to environmental disturbances, where individual events can be classified with nearly 99% accuracy.

Long-term Perimeter Protection System Monitoring Using State of a Polarization Analyzer

“…The paper proposes a long-term perimeter and data protection monitoring system on a fiber optic path. The optical sensor is based on our ongoing research of the fast state of polarization change analyzer and experimental anomaly detection methods [20], [21]. The sensor can detect mechanical and loud acoustic vibrations based on the polarization change of the transmitted light caused by fiber manipulation by an attacker or an unauthorized person entering a protected perimeter [22].…”

Eavesdropping Detection and Localization in WDM Optical System

“…Security in optical networks is becoming very critical due to the increasing amount of data and critical services utilizing fiber network infrastructures. [2]. Physical-layer-based monitoring systems and various detection methods need to be employed to enhance security..…”