Automating privacy compliance in the decentralized enterprise
Gero Dittmann, Chris Giblin, Michael Osborne, Rahul · 2022 IEEE International Conference on Big Data (Big Data) · 2022
Privacy regulations are multiplying at the same time the importance of data accelerates, highlighting a fundamental tension between data protection and utility. Data are often distributed and transferred across geographic and administrative domains, subjecting them to multiple jurisdictions. In this complex environment, compliance requires privacy by design and automation in enforcing policies and detecting violations. We propose an architecture implementing these principles and discuss how it supports new connected-vehicle services enabled by processing data in a GDPR-compliant way compliant.