Secure Exchange of Digital Metrological Data in a Smart Overhead Crane.

Tuukka Mustapää,Raine Viitala,Leo Immonen,Jaan Taponen,Henri Tunkkari,Wiebke Heeren,Oksana Baer,Clifford Brown

doi:10.3390/s22041548

Tuukka Mustapää, Raine Viitala + Show 6 more

Open Access

https://doi.org/10.3390/s22041548

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Abstract

Digitalization and the rapid development of IoT systems has posed challenges for metrology because it has been comparatively slow in adapting to the new demands. That is why the digital transformation of metrology has become a key research and development topic all over the world including the development of machine-readable formats for digital SI (D-SI) and digital calibration certificates (DCCs). In this paper, we present a method for using these digital formats for metrological data to enhance the trustworthiness of data and propose how to use digital signatures and distributed ledger technology (DLT) alongside DCCs and D-SI to ensure integrity, authenticity, and non-repudiation of measurement data and DCCs. The implementation of these technologies in industrial applications is demonstrated with a use case of data exchange in a smart overhead crane. The presented system was tested and validated in providing security against data tampering attacks.

Highlights

Digitalization and the growth of the Internet of Things (IoT) has led to vast amounts of data being collected in all kinds of settings
We present a method for how digital metrological data as metadata can be used to enhance the trustworthiness IoT data; We propose how to use data security technologies and cryptographical methods alongside digital calibration certificates (DCCs) and digital SI (D-SI) applications; We introduce a demonstrator for integrating the digital data formats and necessary security technologies into Industrial IoT (IIoT) systems with the use case being exchanging metrological data in a smart overhead crane similar to the ones that are used in harbors
The OPC UA client connects to the crane’s OPC UA server via the Secure Shell (SSH) tunnel; Data from the sensors are fetched to the Main Application Programming Interfaces (APIs); Once the data have been retrieved, the user can start the process for creating a measurement

Summary

Introduction

Digitalization and the growth of the Internet of Things (IoT) has led to vast amounts of data being collected in all kinds of settings. A significant part of the IoT systems are linked to industrial applications, which is referred to as the Industrial IoT (IIoT) or Industry 4.0, where data are used to optimize manufacturing processes [8], decision-making and management [6,9], condition monitoring and predictive maintenance [10], and many other purposes [11]. Even though these applications are heavily dependent on data, in many. IoT applications, the quality and trustworthiness of the data collected by individual sensors remain unknown or vague This sets limits for the potential usefulness of the data

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