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  • 1
    In: Voprosy kiberbezopasnosti, A.L. Makarenko GI, , No. 4(44) ( 2021), p. 35-47
    Abstract: Purpose: development of a methodology for automating the process of analyzing security threats in cyberphysical systems, which is based on the study and analysis of the system architecture and possible risks of threat implementation, as well as the capabilities of the intruder. Method: the developed methodology is based on structuring information about the architectural features of cyberphysical systems. Structuring information and presenting it in the form of directories that are interconnected allows to determine the list of threats, vulnerabilities and attacks that are relevant to it based on structural and functional characteristics. When designing the database, an ontological approach was applied, which allows you to highlight concepts and their properties. Results: methodological recommendations for analyzing the security of cyber-physical systems have been developed, based on the study and assessment of vulnerabilities and security threats. The analysis of the structural and functional characteristics of the cyber-physical system is carried out and the main features from the point of view of information security are highlighted. Integration of new methods for assessing risks, identifying current threats, and developing effective recommendations for cyber-physical systems made it possible to create a knowledge base about threats, attacks, vulnerabilities of CPS. New threats to CPS have been identified, which are associated with their specific properties: mobility, use of wireless networks, location outside the controlled area. The result of the study is a product presented in the form of a knowledge base that allows you to determine the degree of threat of a threat for a given structural and functional characteristics of a cyber-physical system. Implemented automatic updating of information about vulnerabilities from open databases.
    Type of Medium: Online Resource
    ISSN: 2311-3456
    Uniform Title: Автоматизация процесса анализа угроз информационной безопасности в киберфизических системах
    URL: Issue
    Language: Unknown
    Publisher: A.L. Makarenko GI
    Publication Date: 2021
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  • 2
    In: Voprosy kiberbezopasnosti, A.L. Makarenko GI, , No. 6(52) ( 2022), p. 22-39
    Abstract: 38Адаптивная система защиты сенсорных сетей от активных атак Вопросы кибербезопасности. 2022. No 6(52) Architecture of AdAptiVe protection system for sensor netWorK Basan A.S.6 , Basan E.S.7 , Peskova O.Yu.8 , Sushkin N.A.9 , Shulika M.G.10 Purpose: Development of the adaptive protection system architecture for sensor networks and cyber-physical systems for anomaly detection based on the collection and analysis of cyber-physical parameters. Method: The method is based on the use of probability theory, mathematical statistics, and information theory. The entropy measure and normalization of the raw data make it possible to unify the data and evaluate it in terms of anomaly detection. Results: The existing solutions for the protection of cyber-physical systems from external active attacks were analyzed. The architecture of an adaptive system for a cyber-physical system protection is proposed. As part of the representation of the node data collection and analysis subsystem, a method for estimating cyber-physical parameters to detect intrusions is proposed. Three parameter changes for four behavioral scenarios were analyzed in detail in this study. Even by three parameters, you can determine the difference between attacks and normal behaviors. It is possible to evaluate not only the fact of parameter change, but also the degree of its change. At the same time, the node autonomously compared changes in its parameters with changes in the parameters of the neighboring node and could identify the impact of the attack on the neighboring node. The scientific novelty primarily consists in the fact that for the first time a method for determining the abnormal activity of a cyber-physical system based on the evaluation of system parameters using a measure of entropy and normalization of raw data has been developed, which makes it possible to achieve a high level of detection of known and unknown attacks. This method can be effectively used also for autonomous systems. The original architecture of the adaptive system for protecting the cyber-physical system is also proposed, its main components are worked out. When implementing an attack in a distributed system, this development will allow the node to detect anomalies not only autonomously, but also distributed, that is, to detect the impact on neighboring nodes.
    Type of Medium: Online Resource
    ISSN: 2311-3456
    Uniform Title: АДАПТИВНАЯ СИСТЕМА ЗАЩИТЫ СЕНСОРНЫХ СЕТЕЙ ОТ АКТИВНЫХ АТАК
    URL: Issue
    Language: Unknown
    Publisher: A.L. Makarenko GI
    Publication Date: 2022
    Location Call Number Limitation Availability
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