Methodology for Assessing the Degree of Influence of Navigation Attacks on Cyber-physical Systems
Year: 2025
Type: article
Abstract: The aim of the work is to develop a methodology for classifying cyber-physical system security incidents by analyzing the degree of impact of attacks on key system components based on ontological models. Research method: anomaly detection method based on entropy calculation was used to develop a methodology for classifying cyber-physical system security incidents. The attack model was obtained based on the analysis of the physical nature of the attack and the impact on the digital components of the system. An ontological approach was also used to determine the rules for classifying incidents, which allows predicting security risks for a cyber-physical system. Research results: an analysis of the impact of various types of attacks on cyber-physical systems was carried out, attacks were divided into classes and the impact on the system by the level of consequences and impact was brought to a general form. Based on the analysis results, a model of attacks on cyber-physical systems was built, taking into account different ways of implementing an attack, and uniform attack response thresholds were defined, which allows creating universal correla tion rules and simplifies this process, since the response threshold is associated with the degree of impact of the attack on the final subsystem. A methodology for classifying incidents and identifying key components of a cyber-physical system based on ontological models was developed, which allows predicting risks and selecting the optimal system configuration. Rules for classifying destructive impacts with uniform response thresholds for each parameter were also developed, while it is possible to increase both the number of parameters and the types of parameter values. Scientific novelty: the result of the work is a set of unique rules for classifying destructive impacts with a uniform response threshold for each parameter of a cyber-physical system
Source: Voprosy kiberbezopasnosti
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409621612