Theoretical and Applied Cybersecurity: scientific journal, Vol. 5, No. 2

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https://ela.kpi.ua/handle/123456789/62378

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Перегляд Theoretical and Applied Cybersecurity: scientific journal, Vol. 5, No. 2 за Автор "Rodionov, Andrii"

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  • Ескіз
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    Malware Detection System Based on Static and Dynamic Analysis Using Machine Learning
    (Igor Sikorsky Kyiv Polytechnic Institute, 2023) Nafiiev, Alan; Rodionov, Andrii
    Cyber wars and cyber attacks are an urgent problem in the global digital environment. Based on existing popular detection methods, malware authors are creating ever more advanced and sophisticated malware. Therefore, this study aims to create a malware analysis system that uses both dynamic and static analysis. Our system is based on a machine learning method - support vector machine. The set of data used was collected from various Internet sources. It consists of 257 executable files in .exe format, 178 of which are malicious and 79 are benign. We use 5 different types of data representation: binary information, trace instructions, control flow graph, information obtained from the dynamic operation of the file, and file metadata. Then, using multiple kernel learning, we combine all data views and create one summative machine learning model.
  • Ескіз
    ДокументВідкритий доступ
    The Best Scenario of Cyber Attack Selecting on the Information and Communication System Based on the Logical and Probabilistic Method
    (Igor Sikorsky Kyiv Polytechnic Institute, 2023) Alekseichuk, Lesia; Novikov, Oleksii; Rodionov, Andrii; Yakobchuk, Dmytro
    The task of analyzing and selecting the best scenario of a cyberattack on information and communication system is considered as a component of the task of analyzing systems security. A method and corresponding algorithm for finding the best scenario of an attack on information and communication system using a logical and probabilistic model is proposed. The model describes the development of adverse events that arise in the information and communication system from the implementation of possible attacks on the security system from cyberspace. Analysis of cyber attack scenarios allows predicting the development of possible adverse cyber security events from the implementation of multiple threats to the system. The developed method and corresponding algorithm for analyzing attack scenarios can be used to analyze the security of information and communication systems, as well as in automation systems for designing information security systems or designing attacks on such systems.