An introductory guide to trustworthiness in the Industrial Internet of Things (IIoT) released today by the Industrial Internet Consortium (IIC).
Driven by the convergence of IT with OT, the publication includes a definition of trustworthiness, examples and a best-practice approach to managing trustworthiness in IIoT systems.
Confidence is essential to business, including confidence the consequences of decisions and processes are acceptable and that business information is handled properly. The advent of IIoT means confidence is also now required in technologies, physical components and systems in addition to confidence in individuals, organizations and processes.
The publication’s best-practice approach to managing trustworthiness is comprised of four phases: Baselining the system, analyzing potential trustworthiness events, implementing trustworthiness targets and governance, and iterating and maintaining the resulting trustworthiness model.
“This whitepaper demonstrates that trustworthiness is more than just another academic phrase to describe expectations of stakeholders, operators and users of an IIoT system,” said Marcellus Buchheit, president and chief executive of Wibu-Systems USA, cofounder of Wibu-Systems AG in Germany and co-chair of the IIC Trustworthiness Task Group. “This paper presents several models that show how trustworthiness can be practically used in business decisions to increase trust in an IIoT system under the impact of business reality and constraints.”
The white paper also highlights that trustworthiness is not a static concept.
“An IIoT system must address trustworthiness requirements throughout the lifecycle of the system. This means that industrial IoT trustworthiness is not a project with a finite start and a finite end. It is a journey that must be powered by an established program,” said Bassam Zarkout, founder of IGnPower and co-author of the paper.
The white paper discusses a live example of an IIoT system analyzed from a trustworthiness perspective.
Click here for the full IIC Managing and Assessing Trustworthiness for IIoT in Practice white paper.