Integrated risk, vulnerability and network description ontology for adaptive management of industrial wireless sensor network

Abstract

This work presents an integrated ontological model of risk management in industrial wireless sensor networks (WSNs), which combines three interconnected modules: network description, risk assessment, and vulnerability. Unlike previous solutions, each of which considered a separate aspect of the system, the proposed approach implements their interaction within a single multi-level ontology. The model is based on formalized mathematical dependencies and semantic knowledge description in OWL format with SWRL logical rules, which provides integration of quantitative analysis with logical inference. The system operates according to the adaptive cycle "monitoring - vulnerability detection - risk assessment - response", where the results of real-time analysis of network parameters affect the risk weight coefficients. An adaptation coefficient α(t) has been added, which takes into account changes in the state of nodes and the activity of countermeasures. A modeling example for a network of 50 nodes showed a reduction in the integral risk by 20–25% after several adaptation iterations. The practical value lies in the possibility of implementing the model as a component of SCADA or IoT platforms to increase the reliability, flexibility and security of BSM. The research results create the basis for building self-configuring intelligent sensor network management systems in conditions of industrial risks.