Pseudonymization risk analysis in distributed systems

Abstract In an era of big data, online services are becoming increasingly data-centric; they collect, process, analyze and anonymously disclose growing amounts of personal data in the form of pseudonymized data sets. It is crucial that such systems are engineered to both protect individual user (dat...

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Bibliographic Details
Main Authors: Geoffrey K. Neumann, Paul Grace, Daniel Burns, Mike Surridge
Format: Article
Language:English
Published: Brazilian Computing Society (SBC) 2019-01-01
Series:Journal of Internet Services and Applications
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13174-018-0098-z

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