DEVELOPMENT OF A SECURITY MODEL FOR A MULTI-AGENT NETWORK IN A CYBER-PHYSICAL SYSTEM
DOI:
https://doi.org/10.35546/kntu2078-4481.2025.1.2.11Keywords:
cyber-physical system, agent, transmission policy, physical layer security, networkAbstract
In this article, the modern cyber-physical systems composed of multiple agents organized into a network, was analyzed.One of the main threats to such systems is physical-layer attacks, including signal interception and sensor data manipulation, which can lead to system destabilization or compromise. Each agent serves as a fundamental structural unit of the network, incorporating sensors, actuators, and a control panel to interact with the physical environment and make real-time decisions.The efficiency of each agent is determined by a set of key metrics that allow for calculating its utility coefficient within the network. The primary parameters for this calculation include security, quality of service, and costs. These parameters are derived from physical data obtained from sensors, ensuring their adaptability to environmental changes.The main goal of this research is to develop a security model for the physical layer of the system, utilizing a Markov decision process to assess network efficiency and select the optimal security strategy. The optimization process continues until the highest efficiency score is achieved, calculated as a weighted sum of the individual utility values of the agents.The weighting coefficients are determined according to specific user requirements and operating conditions, ensuring the model’s flexibility for various usage scenarios. The application of reinforcement learning will enable the system to analyze both individual and collective network needs, improving its efficiency based on acquired knowledge. The proposed model enhances the security and stability of the network within a cyber-physical system while maintaining a balance between service quality, costs, and security.
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