Data Leakage and Physical Tampering Detection System Based on Electromagnetic Field Signature in Fiber Optic Infrastructure

Abstract

This invention relates to a system used to ensure the physical security of fiber optic lines in telecommunications operator backbone networks and data center connections by monitoring electromagnetic spectrum variations around the fiber line and detecting potential physical interference, unauthorized contact, or data leakage attempts at an early stage.

Description

1 TARIFF Data Leakage and Physical Violations Based on Electromagnetic Field Signatures in Fiber Optic Infrastructure Intervention Detection System Technical Area The invention relates to fiber optic lines in telecommunications operator backbone networks and data center connections. electromagnetic fields around the fiber optic cable are used to ensure its physical security. By monitoring spectrum changes, potential physical interference, unauthorized contact, or data leakage can be detected. 10 It involves a system that detects these ventures at an early stage. State of the Art Today, various methods are used to ensure the security of fiber optic lines. 15 Current fiber safety solutions typically involve optical power drop, OTDR reflectance analysis, or It relies on physical damage assessment methods. However, fiber tapping or physical intervention Interventions do not always result in significant power loss. Furthermore, environmental electromagnetic... The impact of these changes on fiber security is not systematically monitored. Therefore... The risk of data leakage or unauthorized access is often detected too late. Basic technique 20 The problem is physical interference from changes in the electromagnetic field around the fiber optic cable. or the inability to eliminate the risk of leakage. Purpose of the Invention The present invention aims to eliminate the aforementioned disadvantages and introduce new technologies to the relevant technical field. Data based on electromagnetic field signature in fiber optic infrastructure to bring advantages. It is related to leak and physical tampering detection systems. The main purpose of the invention is to analyze the electromagnetic spectrum variations around the fiber optic cable by 30 By monitoring, potential physical intervention, unauthorized contact, or data leakage attempts can be detected at an early stage. The aim is to enable detection. Another purpose of the invention is to integrate fiber optic cables at specific points or peripherally. The environmental signature is continuously monitored via the positioned electromagnetic field sensor module. The purpose is to enable monitoring. 2 Another aim of the invention is to analyze the optical behavior of the collected electromagnetic spectrum data. evaluated by the correlation module together with fiber optic telemetry data The goal is to create a behavioral vector; the data obtained can be analyzed using AI-based leakage. The risk model represents the probability of data leakage or physical intrusion by analyzing it. The aim is to generate a leak probability score; the defined threshold value of the risk score is 5. If this exceeds the limit, an alarm will be triggered by the security action module for the relevant line. The goal is to isolate the traffic or redirect it to an alternative route; data The aim is to detect leak attempts at an early stage and take preventive action. To achieve the purposes described above, the invention applies to the surrounding area of ​​the fiber optic cable. electromagnetic field sensor module that measures electromagnetic spectrum variations, 10 optical behavior correlation comparing electromagnetic changes with optical telemetry The module is an AI-based leakage risk model that generates a data leakage probability score and produces alarms. and includes a safety action module that implements traffic isolation. The structural and characteristic features and all the advantages of the invention are given in the figures below and in these 15 The detailed explanation, written with references to figures, makes it clearer. This will be understood, and therefore the evaluation should also take these figures and detailed explanations into account. It must be done by taking it. Figures to Help Understand the Invention 20 Figure 1 shows the general architecture of the system that is the subject of the invention. Explanation of Part References 1. Electromagnetic field sensor module 2. Optical behavior correlation module 25 3. AI-based leakage risk model 4. Security action module Detailed Description of the Invention In this detailed description, the preferred configurations of the system that is the subject of the invention are listed only. This will contribute to a better understanding of the subject and will not have any limiting effects. The invention allows for the identification of potential physical variations in the electromagnetic spectrum around a fiber optic cable by monitoring these variations. an intrusion, unauthorized contact or data leakage attempt that is detected at an early stage. It is a system. The system consists of fiber optic cables integrated into specific points or peripherally deployed on 35 the environmental signature is continuously monitored via the electromagnetic environment sensor module (1) located in the area. 3 It monitors the collected electromagnetic spectrum data and the optical behavior correlation modulus. (2) together with fiber optic telemetry data (power, phase, polarization and jitter). A behavioral vector is created by evaluating the data. The obtained data is then used in an artificial intelligence-based system. The probability of data leakage or physical interference is analyzed by the leakage risk model (3). A leak probability score is generated representing the risk. The defined threshold value of the risk score is 5. If it exceeds the limit, the safety action module (4) generates an alarm and isolates the relevant line. or redirects traffic to an alternative route. This allows data leakage attempts to be detected early. This is detected at this stage and preventive action is taken. The system analyzes electromagnetic spectrum variations around the fiber optic cable. It continuously monitors and collects data through the ambient sensor module (1). The obtained data together with fiber optic telemetry data by optical behavior correlation module (2) By evaluating these factors, a correlation profile of physical behavior is created. This profile, Data leakage or physical leakage is analyzed by the AI-based leakage risk model (3). It enables the generation of a risk score representing the likelihood of intervention. The risk score is 15. If the specified threshold value is exceeded, the security action module (4) will be activated and an alarm will be triggered. This involves isolating the relevant line or diverting traffic to an alternative route. It enables the system to be redirected. Thus, the system is protected against physical interference and data leakage. By detecting these threats at an early stage, it enhances the security of fiber infrastructure. The system performs the following functions: • Electromagnetic spectrum data around the fiber optic cable, electromagnetic environment sensor. It is collected continuously by module (1). • Collected electromagnetic spectrum data and optical telemetry data, optical behavior The behavior vector is created by analyzing the correlation module (2). 25 • The generated behavior vector is processed by the AI-based leakage risk model (3) The probability of data leakage or physical interference is calculated. • If the calculated risk score exceeds the threshold value, the safety action module (4) An alarm, traffic isolation, or redirection procedure is implemented by the authorities.

Claims

4 REQUESTS 1. Data leakage and physical threats based on electromagnetic field signature in fiber optic infrastructure. It is an intrusion detection system; its feature is: • electromagnetic, which measures changes in the electromagnetic spectrum around the fiber optic cable. ambient sensor module (1), 5 • Optical behavior correlation comparing electromagnetic changes with optical telemetry module (2), • AI-based leakage risk model that generates a data leakage probability score (3), • Security action module that generates alarms and implements traffic isolation (4) It includes. 10 2. The system compliant with System 1 is characterized by its electromagnetic spectrum around the fiber optic cable. the continuous collection of data by the electromagnetic environment sensor module (1), The collected electromagnetic spectrum data and optical telemetry data are used to analyze optical behavior. Creating a behavior vector by analyzing it with the correlation module (2), 15 the generated behavior vector by the AI-based leakage risk model (3) by processing the data, the probability of data leakage or physical intrusion is calculated, the calculated risk If the score exceeds the threshold value, an alarm is triggered by the security action module (4), traffic This includes enabling the application of isolation or redirection procedures.

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