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  4. Achieving Data Privacy with a Dependability Mechanism for Cyber Physical Systems
 
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2020
Conference Paper
Title

Achieving Data Privacy with a Dependability Mechanism for Cyber Physical Systems

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.
Author(s)
Regan, Gilbert
McCaffery, Fergal
Paul, Pangkaj Chandra
Reich, Jan  
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Sorokos, Ioannis  
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Armangeud, Eric
Zeller, Marc
Longo, Simone
Mainwork
Systems, Software and Services Process Improvement. 27th European Conference, EuroSPI 2020. Proceedings  
Project(s)
DEIS  
Funder
European Commission EC  
Conference
European Conference on Systems, Software and Services Process Improvement (EuroSPI) 2020  
DOI
10.1007/978-3-030-56441-4_38
Language
English
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Keyword(s)
  • Dependability

  • Cyber Physical System

  • Data privacy

  • Cyber security

  • GDPR

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