Guilherme Brito

International audience

Modern critical infrastructures (e.g. Critical Energy Infrastructures) are increasingly evolving into complex and distributed networks of Cyber-Physical Systems. Although the cyber systems provide great flexibility in the operation of critical infrastructure, it also introduces additional security threats that need to be properly addressed during the design and development phase. In this landscape, resilience and robustness by design are becoming fundamental requirements. In order to achieve that, new approaches and technological solutions have to be developed that guarantee i) the fast incident/attack detection; and ii) the adoption of proper mitigation strategies that ensure the continuity of service from the infrastructure. The “Double Virtualization” emerged recently as a potential strategy/approach to ensure the robust and resilient design and management of critical energy infrastructures based on Cyber-Physical Systems. The presented approach exploits the separation of the virtual capabilities/functionalities of a device from the physical system and/or platform used to run/execute them while allowing to dynamically (re-) configure the system in the presence of predicted and unpredicted incidents/accidents. Internet-based technologies are used for developing and deploying the envisioned approach.

The objective of the work leans on the development of an agent-based engine, part of a Service Oriented Architecture, that provides the mechanisms to receive, interpret and execute extensions of products/processes (as software). A novel methodology that uses Service Composition paradigm as base for development and specification of features used by the acting services, along with the use of specific Engineering Tools dedicated to the parameterization of each service, provides the encapsulation of software solutions which the deployment environment can solve and act in accordance on a real-time deployment environment. This concept has a wide range of applicable areas, however, the analysis of the state of the art reveals that this is an emergent target to Manufacturer Companies, as there are missing effective solutions that provide the viability for these companies to perform engineering of Product Service Systems around their products, enabling their extension as services and providing the construction of new business models. The work is driven by industrial application scenarios which provide a novelty of aspects of product-systems systems in different sectors (automotive, home appliances, automation equipment's, etc.) of manufacturing companies.

Service-Oriented Architectures (SOAs) along with Web Services are now being considered as the de-facto standard implementation to connect several layers of a given business in a fast, secured and decentralized fashion. On the other hand, Internet of Things (IoT) devices are generating more and more data that can be analyzed and processed. Despite impossible to analyze locally, this data could be analyzed using a Service-Oriented Architecture. This work presents a solution, contemplating a SOA, that retrieves data from an unintelligent-turned-IoT device, using Representational State Transfer (REST) services. It then uses the ProSEco platform to process the data. Once processed, the results are presented using a web-based visualization tool.

Abstract This chapter outlines the theoretical foundation for the design and implementation of the Semantic Interoperability Framework of the INFINITECH project. It details a methodology for semantic models and ontology engineering and prototyping that defines the overall strategy used to design and specify semantic models for digital finance applications. The semantic models are organized hierarchically according to the domain and the specific application and linked to reference ontologies such as the Financial Industry Business Ontology (FIBO), the Financial Instrument Global Identifier (FIGI), and the Legal Knowledge Interchange Format (LKIF). The provided models establish the cornerstone for semantic interoperability within INFINITECH applications while enabling the distributed processing of semantically linked streams.