An ontology-based security framework for decision-making in industrial systems

Abstract

Embedded devices based on emerging technologies of the Internet of Things (IoT) are used to provide resources, business models and opportunities to build potential industrial systems improving manufacturing systems with efficient operations. In this context, IoT networks are dynamic environments and changes are also being increasingly frequent, modifying the environment execution. Nevertheless, severe threats will increase the complexity and difficulty to protect existing vulnerabilities in smart devices of IoT network. In this context, this work proposes an architecture of the ontology-based security framework to decision-making using adaptive security model to improve secure information for the industrial systems. IoTSec ontology contributes to feed the system using queries of contextual information collected in the environment. The main contribution of this approach is validated as an integration with C2NET project to ensure security properties in some critical scenarios.