Supporting Data Protection by Design and Default

被引:3
|
作者
Lodge, Tom [1 ]
Crabtree, Andy [1 ]
Brown, Anthony [2 ]
机构
[1] Univ Nottingham, Sch Comp Sci, Nottingham, England
[2] Univ Nottingham, Horizon Digital Econ Res, Nottingham, England
来源
PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT) | 2018年
基金
英国工程与自然科学研究理事会;
关键词
Internet of Things; edge computing; Databox; data protection; GDPR; trusted application development; IDE;
D O I
10.1145/3267305.3274151
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the domestic IoT domain, data is often collected by physical 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 developers, requiring them to adhere to "data protection by design and default" to ensure safeguards that protect a data subject's rights. Yet the simple-to-use task-oriented development 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 foundation for an additonal set of data protection measures, including personal data disclosure risk assessments, transparency of processing and runtime inspection.
引用
收藏
页码:901 / 910
页数:10
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