bigdata exchange is an emerging problem in the context of bigdata management and analytics. In bigdata exchange, multiple entities exchange bigdatasets beyond the common data integration or data sharing paradigms,...
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ISBN:
(纸本)9781665439022
bigdata exchange is an emerging problem in the context of bigdata management and analytics. In bigdata exchange, multiple entities exchange bigdatasets beyond the common data integration or data sharing paradigms, mostly in the context of data federation architectures. How to make bigdata exchange while ensuring privacy preservation constraints? The latter is a critical research challenge that is gaining momentum on the research community, especially due to the wide family of application scenarios where it plays a critical role (e.g., social networks, bio-informatics tools, smart cities systems and applications, and so forth). Inspired by these considerations, in this paper we provide an overview of models and issues in the context of privacy-preserving bigdata exchange research, along with a selection of future research directions that will play a critical role in next-generation research.
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