DEIS: Dependability Engineering Innovation for Industrial CPS
Erik Armengaud, Georg Macher, Alexander Massoner, Sebastian Frager,, Rasmus Adler, Daniel Schneider, Simone Longo, Massimiliano Melis, Riccardo, Groppo, Federica Villa, Padraig OLeary, Kevin Bambury, Finnegan Anita, Marc, Zeller, Kai Hoefig, Yiannis Papadopoulos, Richard Hawkins

TL;DR
The DEIS project develops a dependability framework for industrial Cyber-Physical Systems using Digital Dependability Identities to enhance safety, security, and reliability in distributed, autonomous CPS environments.
Contribution
Introduction of the Digital Dependability Identity (DDI) concept for modular, composable dependability assessment in industrial CPS.
Findings
DDI enables efficient dependability information synthesis.
DDI facilitates in-field dependability evaluation.
Application in four industrial use cases demonstrates effectiveness.
Abstract
The open and cooperative nature of Cyber-Physical Systems (CPS) poses new challenges in assuring dependability. The DEIS project (Dependability Engineering Innovation for automotive CPS. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 732242, see http://www.deis-project.eu) addresses these challenges by developing technologies that form a science of dependable system integration. In the core of these technologies lies the concept of a Digital Dependability Identity (DDI) of a component or system. DDIs are modular, composable, and executable in the field facilitating (a) efficient synthesis of component and system dependability information over the supply chain and (b) effective evaluation of this information in-the-field for safe and secure composition of highly distributed and autonomous CPS. The paper…
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