Big data security threats and prevention measures in cloud and hadoop

Abstract

Big Data, collection of huge data sets is a widely used concept in present world. Although being stored and analyzed by Cloud services, it poses the greatest challenge of security threats, occurring in the exposure of enormous amount of data. This paper we are going to explain recent security risks, threats, and vulnerabilities with respect to Cloud Services, Big Data [with extra focus on EnCoRe system], Hadoop [with extra focus on HDFS] and throws light on issues dealing with big data analytics. It prominently makes use of recently developed approach called sticky policies and the existing security framework to improve security. This paper provides a literature review on security threats and privacy issues of big data, Hadoop concurrent processing. It also uses Verizon and Twilio which is familiar for its trustworthy implementation of the Hadoop using Amazon Simple Storage services (S3 services).