The article focuses on the importance of cybersecurity in the energy sector, emphasizing the risks associated with the integration of technologies into energy infrastructures. The authors point out the increasing number of cyber-attacks and vulnerabilities faced by infrastructure networks, especially in the context of the growing number of connected systems and the proliferation of the Internet of Things. Current trends and challenges faced by organizations in the energy sector are highlighted, including risks related to remote access, wireless technologies, and cloud computing. The primary emphasis is on the analysis of threats and vulnerabilities in intelligent networks, risk assessment, and the development of strategies to enhance cybersecurity. The authors discuss various types of cyber threats, including viruses, espionage, DDoS attacks, phishing, system failures, and others. They emphasize the importance of developing effective mechanisms for detecting and responding to attacks, as well as the need to create monitoring and event analysis systems for timely responses to potential threats. The article also presents various methodologies for cybersecurity analysis, including system architecture research, threat modeling, vulnerability and attack identification, calculating the probabilities of exploiting vulnerabilities, modeling malicious behavior, and risk assessment. Advanced practices and technologies in the field of cybersecurity are also discussed in the article, including data encryption, biometric technologies, artificial intelligence, and machine learning for predicting and detecting cyber-attacks.

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Vulnerability Modeling in Сybersecurity of Intelligent Infrastructure Networks

  • Inna Rozlomii,
  • Andrii Yarmilko,
  • Serhii Naumenko

摘要

The article focuses on the importance of cybersecurity in the energy sector, emphasizing the risks associated with the integration of technologies into energy infrastructures. The authors point out the increasing number of cyber-attacks and vulnerabilities faced by infrastructure networks, especially in the context of the growing number of connected systems and the proliferation of the Internet of Things. Current trends and challenges faced by organizations in the energy sector are highlighted, including risks related to remote access, wireless technologies, and cloud computing. The primary emphasis is on the analysis of threats and vulnerabilities in intelligent networks, risk assessment, and the development of strategies to enhance cybersecurity. The authors discuss various types of cyber threats, including viruses, espionage, DDoS attacks, phishing, system failures, and others. They emphasize the importance of developing effective mechanisms for detecting and responding to attacks, as well as the need to create monitoring and event analysis systems for timely responses to potential threats. The article also presents various methodologies for cybersecurity analysis, including system architecture research, threat modeling, vulnerability and attack identification, calculating the probabilities of exploiting vulnerabilities, modeling malicious behavior, and risk assessment. Advanced practices and technologies in the field of cybersecurity are also discussed in the article, including data encryption, biometric technologies, artificial intelligence, and machine learning for predicting and detecting cyber-attacks.