Tackling security and privacy challenges in the realm of big data analytics
Kenya Agricultural and Livestock Research Organization, Nairobi, Kenya.
Review Article
World Journal of Advanced Research and Reviews, 2024, 21(02), 552–576
Article DOI: 10.30574/wjarr.2024.21.2.0429
Publication history:
Received on 17 December 2023; revised on 06 February 2024; accepted on 09 February 2024
Abstract:
As organizations increasingly harness the power of big data analytics to derive insights and drive decision-making, the paramount concerns of security and privacy have come to the forefront. This paper presents a comprehensive framework for addressing the multifaceted challenges of big data security and privacy. Drawing on a synthesis of cutting-edge technologies, encryption methods, and access control mechanisms, our approach aims to fortify the entire big data lifecycle. The paper delves into innovative strategies for secure data storage, transmission, and processing, ensuring that sensitive information is shielded from unauthorized access or malicious attacks. Additionally, the framework incorporates robust privacy-preserving techniques, including anonymization and differential privacy, to uphold individual confidentiality. Through a meticulous analysis of current trends, emerging threats, and regulatory landscapes, this paper not only provides theoretical insights but also practical guidelines for organizations seeking to navigate the intricate landscape of big data while safeguarding the integrity, security, and privacy of the vast datasets at their disposal.
Keywords:
Big data; Privacy; Security; Analytics; Breaches
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0