Proactive network monitoring, vulnerability assessment, and traffic path estimation rely on demanding processes that require expert knowledge and are time consuming, owing to the complexity of network topologies and network traffic flow. Therefore, the automated processing of network data is very much desired, however, constructing a machine-interpretable representation of network topologies and traffic flow is not trivial due to interoperability, complexity, and scalability issues. This project addresses many of these issues by utilizing Semantic Web standards, such as RDF and OWL, logically underpinned by description logics, which enable automated tasks to determine whether the traffic goes through a particular country, empower organizations to develop proactive cybersecurity policies, and inform decision-makers in a timely manner.
