TOWARDS DATA PRIVACY AND SECURITY FRAMEWORK IN BIG DATA GOVERNANCE

Jacentha N.Maniam,Dalbir Singh

doi:10.15282/ijsecs.6.1.2020.5.0068

Jacentha N.Maniam, Dalbir Singh

Open Access

https://doi.org/10.15282/ijsecs.6.1.2020.5.0068

Copy DOI

Abstract

Data privacy and security are among the most important aspects to be considered in implementing a data-driven system. A well generated Big Data contains a wealth of information that can reveal personal life that should be kept in private. Although various studies and Big Data analysis are widely documented, the methods and policies to ensure the privacy and security of data in Big Data governance remain unclear. Big Data analytics also seeks to make the affected person disclose new and critical personal information that is not intended for disclosure. Thus, this study focuses on data privacy and security issues in Big Data governance. The objective of this study aims to propose of Big Data governance framework that complements data privacy and security factors. This study uses a qualitative approach in the development of the research framework based on a systematic literature review and evaluated by experts to validate the framework. This study is expected to benefits the public and private sectors where the proposed framework could be applied as a guide to preventing any data leakage or misuse of Big Data.

Highlights

Structured and unstructured data generated by various organizations and social entities are referred to as big data
It comprises the following four sections that focus on big data governance and issues related to data privacy and security
This study captures all the information gained from the systematic literature review that focused on past studies conducted from the year of 2016 to 2020 on big data privacy and security issues in big data governance

Summary

Introduction

Structured and unstructured data generated by various organizations and social entities are referred to as big data. Data generation occurs in a big scale every time someone is online, may it be using a smartphone equipped with GPS, or even communicating on social media and performing online shopping (Gregory & Halff, 2020). Big data is considered as a holistic information management approach, for acquiring, cleaning, integrating, storing and analyzing data from a variety of sources either internal or external, in which data can be structured or nonstructured. It is to generate insights and analysis to support a decision (Randy Bean, 2016).

Objectives

Methods

Conclusion