Assessment of cyber survivability of the Smart Home information system based on the use of fuzzy cognitive maps

The article considers the task of assessing the cyber-survivability of a Smart Home information system operating in the context of an increasing number of cyber threats and vulnerabilities of Internet of Things devices. The aim of the study is to develop a method for analyzing the stability of such systems based on the use of fuzzy cognitive maps. The proposed approach makes it possible to model causal relationships between system components, including network infrastructure, intelligent devices, security factors, and external cyber threats. As part of the work, a cognitive model of the information system was formed, including key elements of the architecture, the causal relationships between the factors influencing the level of cyber survivability of the system were determined, and a matrix of weights was formed for subsequent computational modeling. Based on the developed model, an experimental analysis of the cyberattack scenario related to the compromise of the network infrastructure was carried out. The simulation results demonstrate the impact of cyber-attacks on the level of cyber survivability of the system and allow us to quantify the impact of various security factors on the functioning of the system. The dynamics of system recovery after the elimination of the consequences of the attack is also shown. The proposed method allows to take into account the uncertainty and interrelation of security factors, providing a visual representation of the structure of threats and their impact on the system. The results obtained confirm the possibility of using fuzzy cognitive maps to assess cyber survivability and increase the stability of Smart Home information systems.

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