Towards Privacy-Preserving IoT Systems Using Model Driven Engineering

Judith Michael, Lukas Netz, Bernhard Rumpe, Simon Varga
2019 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems  
Considering the Internet of Things in production processes, the human factor and aspects such as data protection and data transparency are often ignored. However, collecting, storing and processing data is going to be a standard procedure in this domain. This includes data from sensors, machines, and processes as well as individual data about people. Recent approaches such as assistive systems for human-computer and human-machine interaction need more personal data than ever before to provide
more » ... rposeful, tailored support. For MDE approaches it is important to consider privacy already on model level. This paper discusses a way to create privacy-preserving IoT systems using an MDE approach to support privacy and data transparency. We show the relevance and application on a use case from industrial production processes. Additionally, we discuss abilities for practical realization and its limitation.
dblp:conf/models/MichaelNRV19 fatcat:qd7m25oqxvf5vdctz7dt76topi