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Achieving Data Privacy with a Dependability Mechanism for Cyber Physical Systems

 
: Regan, Gilbert; McCaffery, Fergal; Paul, Pangkaj Chandra; Reich, Jan; Sorokos, Ioannis; Armangeud, Eric; Zeller, Marc; Longo, Simone

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Yilmaz, M.:
Systems, Software and Services Process Improvement. 27th European Conference, EuroSPI 2020. Proceedings : Düsseldorf, Germany, 9th - 11th September 2020, held virtually
Cham: Springer (Communications in computer and information science 1251)
ISBN: 978-3-030-56440-7
ISBN: 978-3-030-56441-4
S.511-524
European Conference on Systems, Software and Services Process Improvement (EuroSPI) <27, 2020, Online>
European Commission EC
H2020; 732242; DEIS
Dependability Engineering Innovation for CPS
Englisch
Konferenzbeitrag
Fraunhofer IESE ()
Dependability; Cyber Physical System; Data privacy; Cyber security; GDPR

Abstract
Cyber-Physical-Systems (CPS), such as smart cars and implanted medical devices, are systems of collaborating computational entities. The open and cooperative nature of CPS poses a significant new challenge in assuring dependability. The DEIS project addresses this important and unsolved challenge through its key innovation which is the concept of a Digital Dependability Identity (DDI). A DDI contains all the information that uniquely describes the dependability characteristics of a CPS or CPS component. Data protection and privacy is a key component of dependability and is regulated by the General Data Protection Regulation (GDPR) for all European Union (EU) and European Economic Area (EEA) citizens. In this paper we present an overview of the DDI. Additionally, we provide our concept of how the DDI can support assurance of technical system security requirements derived from GDPR. Additionally, we demonstrate how this concept is implemented in an automotive use case.

: http://publica.fraunhofer.de/dokumente/N-603279.html