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XGPON module for Wireshark
Šuba, Patrik ; Horváth, Tomáš (referee) ; Tomašov, Adrián (advisor)
The master's thesis deals with the design of a PcapNG file format for supporting XG-PON data and explores the possibilities of creating a module. The aim is to create a module as a technical tool for detailed analysis and diagnostics of XG-PON networks. The file design proposal consists of packet processing by a network analyzer and the creation of PcapNG format blocks. This file design proposal is implemented in a program written in the Python language. The Wireshark module is implemented in the LUA programming language which have native support for utilizing the new link layer. The use of the module involves configuring the application to support the XG-PON protocol and utilizing the module itself, which can process XG-PON frames in both directions of communication in the proposed PcapNG file. An important part was the verification of the module's functionality on data from an available XG-PON network, demonstrating its ability to correctly process data from a real environment. The result of the work is a tool for the analysis and diagnosis of XG-PON networks, which can contribute to better management of these modern optical networks.
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System for monitoring changes in passive optical networks
Pancák, Matej ; Oujezský, Václav (referee) ; Holík, Martin (advisor)
This diploma thesis describes a design and implementation of a system for monitoring events in passive optical networks, specifically in GPON networks. The main technologies used in the implementation of this system are Apache Kafka, Docker and the Python programming language. Within the created application, several filters are implemented. This filters obtain essential information from the captured frames in terms of traffic analysis on the given network. The result of the thesis is a functional system that from the captured GPON frames obtains information about the network traffic and stores them in the Apache Kafka, where the stored data is accessible for further processing. The work also provides examples of how to process the stored data, along with information about their meaning and structure.
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Gpon Attacks And Errors Classification
Tomašov, Adrián
This paper focuses on various types of attacks and errors in an activation process of Gigabitcapablepassive optical networks. The process sends messages via Physical Layer Operation Administrationand Maintenance header field inside the transmitted frame. An exemplar network communicationis captured by a special hardware-accelerated network interface card capable of processing opticalsignals from passive optical networks. The captured data is filtered of irrelevant parts and messagesand correctly formatted into a suitable shape for a neural network. The filtered data is divided intosmall sequences called time windows and analyzed using a recurrent neural network-based on Gatedrecurrent unit cells. A new neural network model is designed to classify sequences into several categories:additional message, missing message, error inside (noisy) message, and message order error.All of these categories represent a certain type of attack or error. The proposed model can distinguishmessage sequences into these categories with high accuracy resulting in revealing a possible attackeror drift from protocol recommendation.
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System for monitoring changes in passive optical networks
Pancák, Matej ; Oujezský, Václav (referee) ; Holík, Martin (advisor)
This diploma thesis describes a design and implementation of a system for monitoring events in passive optical networks, specifically in GPON networks. The main technologies used in the implementation of this system are Apache Kafka, Docker and the Python programming language. Within the created application, several filters are implemented. This filters obtain essential information from the captured frames in terms of traffic analysis on the given network. The result of the thesis is a functional system that from the captured GPON frames obtains information about the network traffic and stores them in the Apache Kafka, where the stored data is accessible for further processing. The work also provides examples of how to process the stored data, along with information about their meaning and structure.
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