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System for network device detection and recognition of used protocols
Sasák, Libor ; Fujdiak, Radek (oponent) ; Holasová, Eva (vedoucí práce)
This master's thesis deals with the recognition of used protocols in a network using machine learning and the creation of a system for this purpose. It focuses on the most widely used industrial and common application protocols and describes selected well-proven machine learning techniques for their recognition. However, priority is given to artificial neural networks. It briefly describes databases and the specific implementation SQLite3 used in the final system implementation. A virtual environment for simulating selected Modbus/TCP, DNP3, HTTPS and FTP protocols is also created and described. Part of the thesis is devoted to the collection, analysis and processing of the data needed to recognize the protocols. Furthermore, it covers the creation and testing of machine learning models for the given protocols. Last but not least, the thesis is devoted to the design of the recognition system and its implementation with a graphical user interface. It also includes testing and evaluation of its advantages and limitations.
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An Integration of SIP Voice Calls into an IRC Client or Gateway
Kocman, David ; Očenášek, Pavel (oponent) ; Rychlý, Marek (vedoucí práce)
This thesis describes the design, implementation and testing of a Session Initiation Protocol user agent, using an Internet Relay Chat client or gate as its graphical interface. A third-party open-source library, called liblinphone, is used for call related implementation and the application itself is written in the C/C++ language. The program can make calls and other basic SIP-related features, which include proxy registration, ENUM lookup, and instant messaging. An address book is also available for storing contacts and identities, and is implemented with the SQLite3 C/C++ library. The result of this thesis is an ability to make calls with IRC.
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System for network device detection and recognition of used protocols
Sasák, Libor ; Fujdiak, Radek (oponent) ; Holasová, Eva (vedoucí práce)
This master's thesis deals with the recognition of used protocols in a network using machine learning and the creation of a system for this purpose. It focuses on the most widely used industrial and common application protocols and describes selected well-proven machine learning techniques for their recognition. However, priority is given to artificial neural networks. It briefly describes databases and the specific implementation SQLite3 used in the final system implementation. A virtual environment for simulating selected Modbus/TCP, DNP3, HTTPS and FTP protocols is also created and described. Part of the thesis is devoted to the collection, analysis and processing of the data needed to recognize the protocols. Furthermore, it covers the creation and testing of machine learning models for the given protocols. Last but not least, the thesis is devoted to the design of the recognition system and its implementation with a graphical user interface. It also includes testing and evaluation of its advantages and limitations.
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