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Towards Privacy-Preserving IoT Systems Using Model Driven Engineering
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
dblp:conf/models/MichaelNRV19
fatcat:qd7m25oqxvf5vdctz7dt76topi