Critical Infrastructure Awareness based on IoT Context Data

Abstract

The Internet of Things (IoT) represents a powerful new paradigm for connecting and communicating with the world around us. It has the potential to transform the way we live, work, and interact with our surroundings. IoT devices are transmitting information over the Internet, most of them with different data formats, although they may be communicating similar concepts. This often leads to data incompatibilities and makes extracting the knowledge underlying that data difficult. Because of the heterogeneity of IoT devices and data, interoperability is a challenge, and efforts are underway to overcome this through research and standardization. While data collection and monitoring in IoT systems are becoming more prevalent, contextualizing the data and taking appropriate actions to address issues in the monitored environment is still an ongoing concern. Context Awareness is a highly relevant topic in the IoT, as it aims to provide a deeper understanding of the data collected and enable more informed decision-making. This paper proposes a semantic ontology to monitor global entities in the IoT. Leveraging semantic definitions enables end-users to model the entire process from detection to action, including context-aware rules for taking appropriate actions. Semantic definitions include more accurate and consistent data interpretation, improving the overall monitoring process and enabling more effective decision-making based on the collected insights. Our proposal includes semantic models for defining the entities responsible for monitoring and executing actions and the elements that need to be considered for an effective monitoring process. Additionally, we provide a new definition for the components known as gateways, which enable the connection and communication between devices and the Internet. Finally, we show the benefits of our ontology by applying it to a critical infrastructure domain where a rapid response is vital to prevent accidents and malfunction of the entities.