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 Massimiliano. - STAMPA. - 2:(2016), pp. 356-358. ( 2016 IEEE 40th Annual Computer Software and Applications Conference, COMPSAC 2016 usa 2016) [10.1109/COMPSAC.2016.224].
A Reference Architecture for Supporting Secure Big Data Analytics over Cloud-Enabled Relational Databases
CUZZOCREA, Alfredo Massimiliano
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 | Dimensione | Formato | |
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