A reference architecture for supporting secure big data analytics over Cloud-enabled relational databases, which is based on our previous Attribute-Order-Preserving-Free-SFS (AOPF-SFS) algorithm, is proposed in this paper. In this architecture, the skyline operator acts as "baseline" component for building secure big data analytics, in a smoothly and algebra-like manner. We provide general concepts and functionalities of the architecture, along with future research directions in secure big data analytics research.
A Reference Architecture for Supporting Secure Big Data Analytics over Cloud-Enabled Relational Databases
Cuzzocrea Alfredo
2016-01-01
Abstract
A reference architecture for supporting secure big data analytics over Cloud-enabled relational databases, which is based on our previous Attribute-Order-Preserving-Free-SFS (AOPF-SFS) algorithm, is proposed in this paper. In this architecture, the skyline operator acts as "baseline" component for building secure big data analytics, in a smoothly and algebra-like manner. We provide general concepts and functionalities of the architecture, along with future research directions in secure big data analytics research.File in questo prodotto:
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