“Industry 4.0” is recognized as the future of industrial production in which concepts as Smart Factory and Decentralized Decision Making are fundamental. This paper proposes a novel strategy to support decentralized decision, whilst identifying oppor

The use of sensors and actuators as a form of controlling cyber-physical systems in resource networks has been integrated and referred to as the Internet of Things (IoT). However, the connectivity of many stand-alone IoT systems through the Internet introduces numerous cybersecurity challenges as sensitive information is prone to be exposed to malicious users. This paper focuses on the improvement of IoT cybersecurity from an ontological analysis, proposing appropriate security services adapted to the threats. The authors propose an ontology-based cybersecurity framework using knowledge reasoning for IoT, composed of two approaches: (1) design time, which provides a dynamic method to build security services through the application of a model-driven methodology considering the existing enterprise processes; and (2) run time, which involves monitoring the IoT environment, classifying threats and vulnerabilities, and actuating in the environment ensuring the correct adaptation of the existing services. Two validation approaches demonstrate the feasibility of our concept. This entails an ontology assessment and a case study with an industrial implementation.

The recently posed challenge of developing an Enterprise Interoperability Science Foundation (EISF) prompted some academic agents to attempt a systematisation of the Interoperability Body of Knowledge (IBoK). Still in their embryonic stages, these efforts have sought to organise and aggregate information from very fragmented and disparate sources, and with different granularities of detail, distinct epistemology origins, separate academic fields, etc. This paper aims to distinguish between levels of specificity of the Interoperability academic work, which are often confused, by considering Models, Theories, and Frameworks. The paper revises these concepts within the context of the EISF's recent work. The results presented here, reflecting consultation with the expert community, provide the synthesis of the current state of play regarding the work developed by the Enterprise Interoperability (EI) at the European Commission's Future Internet Enterprise Systems (FInES) cluster.