Today big data are the target of many research activities focusing on big data management and analysis, definition of zero latency approaches to data analytics, and protection of big data security and privacy. In particular, security and privacy are two important, while contrasting, requirements. Big data security usually refers to the use of big data to implement solutions increasing security, reliability, and safety of a distributed system. Big data privacy, instead, focuses on the protection of big data from unauthorized use and unwanted inference. In this paper, we start from the manifesto on Business Intelligence Meets Big Data [8] and the notions of full data and zero-latency analysis to discuss new challenges in the context of big data security and privacy.
Business intelligence meets big data : an overview on security and privacy / C.A. Ardagna, E. Damiani. ((Intervento presentato al convegno NSF Workshop on Big Data Security and Privacy tenutosi a Richardson nel 2014.
Business intelligence meets big data : an overview on security and privacy
C.A. Ardagna;E. Damiani
2014
Abstract
Today big data are the target of many research activities focusing on big data management and analysis, definition of zero latency approaches to data analytics, and protection of big data security and privacy. In particular, security and privacy are two important, while contrasting, requirements. Big data security usually refers to the use of big data to implement solutions increasing security, reliability, and safety of a distributed system. Big data privacy, instead, focuses on the protection of big data from unauthorized use and unwanted inference. In this paper, we start from the manifesto on Business Intelligence Meets Big Data [8] and the notions of full data and zero-latency analysis to discuss new challenges in the context of big data security and privacy.File | Dimensione | Formato | |
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