Defining, enforcing and checking privacy policies in data-intensive applications

The rise of Big Data is leading to an increasing demand for large-scale data-intensive applications (DIAs), which have to analyse massive amounts of personal data (e.g. customers' location, cars' speed, people heartbeat, etc.), some of which can be sensitive, meaning that its confidentiali...

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Bibliographic Details
Published in:	2018 IEEE ACM 13th International Symposium on Software Engineering for Adaptive and Self Managing Systems (SEAMS) pp. 172 - 182
Main Authors:	Guerriero, Michele, Tamburri, Damian Andrew, Di Nitto, Elisabetta
Format:	Conference Proceeding
Language:	English
Published:	New York, NY, USA ACM 28.05.2018
Series:	ACM Conferences
Subjects:	Big Data Companies Context Aware Privacy Context modeling Data models Data privacy Dataflow Applications Privacy Runtime Security and privacy > Human and societal aspects of security and privacy > Privacy protections Security and privacy > Software and application security > Domain-specific security and privacy architectures Software and its engineering data privacy context-aware privacy big data dataflow applications
ISBN:	9781450357159, 1450357156
Online Access:	Get full text
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