Big Data Security Hardening Methodology Using Attributes Relationship

Abstract

Recently developments in network, mining and data store technology have heightened the need for big data and big data security. In this paper, we focus on the big data's characteristic which takes seriously the analysis of value than the data itself. We express the relationship between attributes using nodes and edges. Through this, we propose a big data security hardening methodology by selecting "protect attributes" from attributes relationship graph.