Systematic Survey: Secure and Privacy-Preserving Big Data Analytics in Cloud
Arun Amaithi Rajan, V. Vetriselvi
Abstract
Massive data are being generated exponentially every day. Therefore, analytics over data is inevitable nowadays to gain meaningful insights. Big Data Analytics (BDA) is powerful in critical applications while making effective decisions. Since the data to be processed are enormous in local systems, it is getting stored and processed in cloud platforms. Most of the clouds are public which are third-party resources. Security and privacy are the greatest concerns when it comes to the cloud. In the Big Data era, secure and private BDA has acquired the center of attention. This survey analyzes the various security and privacy solutions for BDA in the cloud environment from the combined perspectives of the three main subsystems: secure access control, secure data storage, and secure and private learning. Various techniques are studied and presented in each subsystem. The primary aim of this paper is to provide an overview of secure and private BDA in the cloud. Research challenges and future research directions in this area have also been presented.