Title | Securing the metrological chain in IoT environments: an architectural framework |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Aranha, Helder, Masi, Massimiliano, Pavleska, Tanja, Sellitto, Giovanni Paolo |
Conference Name | 2021 IEEE International Workshop on Metrology for Industry 4.0 IoT (MetroInd4.0 IoT) |
Keywords | composability, compositionality, FHIR, Human Behavior, IHE, information assurance, Instruments, IoMT, IoT, Law, maintenance engineering, merging, Metrics, Metrological Chain, model checking, pubcrawl, RAMI 4.0, resilience, Resiliency, RMIAS, Smart grids, software architectures, Tools |
Abstract | The Internet of Things (IoT) paradigm, with its highly distributed and interconnected architecture, is gaining ground in Industry 4.0 and in critical infrastructures like the eHealth sector, the Smart Grid, Intelligent Power Plants and Smart Mobility. In these critical sectors, the preservation of metrological characteristics and their traceability is a strong legal requirement, just like cyber-security, since it offers the ground for liability. Any vulnerability in the system in which the metrological network is embedded can endanger human lives, the environment or entire economies. This paper presents a framework comprised of a methodology and some tools for the governance of the metrological chain. The proposed methodology combines the RAMI 4.0 model, which is a Reference Architecture used in the field of Industrial Internet of Things (IIoT), with the the Reference Model for Information Assurance & Security (RMIAS), a framework employed to guarantee information assurance and security, merging them with the well established paradigms to preserve calibration and referability of metrological instruments. Thus, metrological traceability and cyber-security are taken into account straight from design time, providing a conceptual space to achieve security by design and to support the maintenance of the metrological chain over the entire system lifecycle. The framework lends itself to be completely automatized with Model Checking to support automatic detection of non conformity and anomalies at run time. |
DOI | 10.1109/MetroInd4.0IoT51437.2021.9488526 |
Citation Key | aranha_securing_2021 |