IoT App Development: Supporting Data Protection by Design and Default

Lodge, Thomas; Crabtree, Andy; Brown, Anthony

Abstract

In the domestic IoT domain, data is often collected by phys- ical sensors and actuators embedded in the household and used to provide contextually relevant services to end users. Given that this data is often personal, the EU’s General Data Protection Regulation can implicate IoT app devel- opers, requiring them to adhere to "data protection by de- sign and default" to ensure safeguards that protect a data subject’s rights. Yet the simple-to-use task-oriented de- velopment environments that are commonly used to build domestic IoT apps provide little support for developers to engage with data protection measures. In this paper we present an overview of an IoT development environment that has been designed to help developers engage with data protection at app design time. We describe a data tracking feature, which makes all personal flows in an app explicit at development time and which provides the foun- dation for an additonal set of data protection measures, including personal data disclosure risk assessments, trans- parency of processing and runtime inspection.

Citation

Lodge, T., Crabtree, A., & Brown, A. (2018). IoT App Development: Supporting Data Protection by Design and Default. In UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 901-910. doi:10.1145/3267305.3274151

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: UbiComp 2018
• Start Date: Oct 8, 2018
• End Date: Oct 12, 2018
• Acceptance Date: Sep 2, 2018
• Publication Date: Oct 12, 2018
• Deposit Date: Nov 26, 2018
• Publicly Available Date: Nov 27, 2018
• Publisher: Association for Computing Machinery (ACM)
• Pages: 901-910
• Book Title: UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
• ISBN: 978-1-4503-5966-5
• DOI: https://doi.org/10.1145/3267305.3274151
• Keywords: Internet of Things, edge computing, Databox, data protection, GDPR, trusted application development, IDE
• Public URL: https://nottingham-repository.worktribe.com/output/1234975