A Purposed Multilayered Framework for Security and Privacy in Big Data
Danish Bilal Ansari, Muhammad Abdul Khaliq · International Journal of Computer Applications · 2022
In this day and age, Big Data is extensively used among numerous organizations.From gathering and storing sensitive data to performing analytics, Big Data plays a fundamental role in any organizational growth in various social and economic areas.With data secrecy, a huge volume of data creates different security and privacy concerns that lead to several threats and vulnerabilities.Conventional methodologies for secured data are no longer applicable when applied in the perspective of Big Data.This paper presents a detailed overview of Big Data characteristics regarding V's and provides an insight into the analytics.It also addresses the security and privacy risks and proposed a multilayered framework to address and mitigate these challenges.