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IoT Traffic Generation and Detection of Security Incidents
Pristaš, Ján ; Ryšavý, Ondřej (referee) ; Matoušek, Petr (advisor)
The main purpose of my bachelor thesis is to design and create operation generating system of IoT networks, creating security incidents and their detection. First part describes basic principles of IoT networks, SCADA systems and communication protocols IEC 60870-5-104 and DLMS/COSEM. Subsequently there are described industrial tools emulating operation of SCADA systems using investigated protocols. The next section describes the security of these systems, along with the risks they face. Based on this information, a tool was designed and implemented to simulate various types of attacks on SCADA systems and track their reactions. The last part of the work is devoted to the possibilities of detecting di erent types of attacks and how to protect the networks from them.
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Evolutionary Design of Convolutional Neural Networks
Pristaš, Ján ; Mrázek, Vojtěch (referee) ; Sekanina, Lukáš (advisor)
The aim of this Master's thesis is to describe basic technics of evolutionary computing, convolutional neural networks (CNN), and automated design of neural networks using neuroevolution ( NAS - Neural Architecture Search ). NAS techniques are currently being researched more and more, as they speed up and simplify the lengthy and complicated process of designing artificial neural networks. These techniques are also able to search for unconventional architectures that would not be found by classic methods. The work also contains the design and implementation of software capable of automated development of convolutional neural networks using the open-source library TensorFlow. The program uses a multiobjective NSGA-II algorithm for designing accurate and compact CNNs.
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Evolutionary Design of Convolutional Neural Networks
Pristaš, Ján ; Mrázek, Vojtěch (referee) ; Sekanina, Lukáš (advisor)
The aim of this Master's thesis is to describe basic technics of evolutionary computing, convolutional neural networks (CNN), and automated design of neural networks using neuroevolution ( NAS - Neural Architecture Search ). NAS techniques are currently being researched more and more, as they speed up and simplify the lengthy and complicated process of designing artificial neural networks. These techniques are also able to search for unconventional architectures that would not be found by classic methods. The work also contains the design and implementation of software capable of automated development of convolutional neural networks using the open-source library TensorFlow. The program uses a multiobjective NSGA-II algorithm for designing accurate and compact CNNs.
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IoT Traffic Generation and Detection of Security Incidents
Pristaš, Ján ; Ryšavý, Ondřej (referee) ; Matoušek, Petr (advisor)
The main purpose of my bachelor thesis is to design and create operation generating system of IoT networks, creating security incidents and their detection. First part describes basic principles of IoT networks, SCADA systems and communication protocols IEC 60870-5-104 and DLMS/COSEM. Subsequently there are described industrial tools emulating operation of SCADA systems using investigated protocols. The next section describes the security of these systems, along with the risks they face. Based on this information, a tool was designed and implemented to simulate various types of attacks on SCADA systems and track their reactions. The last part of the work is devoted to the possibilities of detecting di erent types of attacks and how to protect the networks from them.
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