Wearable (fitness-/health-)devices monitor different types of data. E.G. heart rate, body temperature, glucose level and location. Combining these information gives useful insights about the health and other aspects. The severity depends on the combination and what is derivable from that.
Smart meters measure power consumption and stream data to cloud for processing. That enables useful functions. E.g. optimizing energy consumption or planning of power supply. Contrary this reveals private information like the used electronic devices and all kinds of details about user activity.
There are hundreds of sensors in a modern automobile. The manufacturer, leasing- and insurance-companies are all interested in a lot of the gathered information. For the user it is beneficial if the manufacturer tells him there is a problem with this car, but the customer might not want to be tracked all the time.
With PATRON we want to reach two goals at the same time:
1. Hide private information from unauthorized parties.
2. Ensure quality of service/data to implement IoT services.
Creating the full research proposal and getting the funding agreement.
Starting with interviews and a workshop with industry partners we created use cases and got to know privacy requirements for different IoT-Stakeholders.
With talks from Siemens (Dr. Jorge Cuellar) and Bosch (Dr. Simon Burton).
Supervising Partner (IPVS / VS)
Supervising Partner (IPVS / AS)
Supervising Partner (ISTE)