Friday, January 17th 11am-12pm  |  LTB @ CS Dept

Many service providers offer their services in exchange for users' private data. Despite recent regulations aimed at protecting user privacy, users often have limited control over how their data is collected and used. To address these privacy concerns in cloud-IoT applications, this study proposes a novel architecture, called Data Bank, which empowers users with fine-grained control over their data. Data Bank employs a category-based data access (CBDA) model encompassing the entire data lifecycle, from data collection from IoT devices to data sharing with services. The study demonstrates how dynamic policies can be defined using a new attribute-based instance of CBDA, and explores the use of policy graphs to visualise and analyse these policies.
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