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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Brazilian Computing Society (SBC)
2019-01-01
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Series: | Journal of Internet Services and Applications |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13174-018-0098-z |