Assessment and Support of Critical Multilevel Infrastructure Security Using Information and Cognitive Technologies

Abstract

Currently, the critical multilevel information infrastructure in cyberspace requires new tools to ensure stability in the face of cyber-attacks. This includes knowledge about the state of controlled objects, the operating environment, and the impacts of cyber threats and vulnerabilities. Advanced approaches are needed to support decision-making. The effectiveness of these decision support systems is directly linked to their ability to provide decision-makers with balanced and qualitative information that characterizes the current and projected states of critical infrastructure. This research proposes an approach to solving problems characterized by a high degree of uncertainty, complexity of strict formalization, and subjective nature, through the application of cognitive technologies. We have developed an information-logical model based on information and cognitive technologies for assessing and maintaining the security of the critical information infrastructure facility. The level of security was assessed using a Bayesian trust network, the structure of which was built using expert knowledge.