Abstract

Many service providers offer their services in exchange for users’ private data. Despite new regulations created to protect users’ privacy, users are often given little choice over the way their data is collected and used. To address privacy concerns in cloud-IoT applications, this study proposes to use an architecture, called Data Bank, which gives users fine-grained control over their data. Data Bank uses a category-based data access (CBDA) model which covers the whole data life-cycle, from data collection from IoT devices to data sharing with services. It shows how dynamic policies can be specified using a new attribute-based instance of CBDA , and describe the use of policy graphs to visualise and analyse policies.

https://ieeexplore.ieee.org/document/9880537

Short bio: Dr Jenjira Jaimunk was a PhD student at King’s College London and is now a lecturer at the Department of Computer Engineering, Chiang Mai University. She is interested in research on privacy for cloud-IoT platforms and privacy by design. Her research looks at designing an architecture to improve the process of disclosing information on individuals while minimising the breach of user privacy.