Security and privacy in big data lifetime: A review

Abstract

Due to the fast growth of emerging information technologies such as Internet of Things (IoT), cloud computing, Internet services, and social networking, an increasing interest in big data security and privacy is aroused. An entire lifetime of big data contains four phases: big data collection; transmission; processing and analytics; storage and management. However, the five salient features of big data: volume, variety, velocity, value, and veracity bring great challenges on protecting big data security and privacy during its whole lifetime. In this paper, we survey schemes and techniques that are applied to ensure big data security and privacy. Based on the literature review, we discuss open challenges and issues in this research area towards comprehensive protection on big data security and privacy in its lifetime.