DATA SECURITY IN BIG DATA: CHALLENGES, STRATEGIES, AND FUTURE TRENDS

Authors: Adeola Oladele Adenubi*, Ayorinde P. Oduroye & Adeniyi Akanni

ABSTRACT

In the dynamic landscape of big data analytics, this paper explores the critical dimension of data security, addressing challenges, strategies, and emerging trends. Recognizing the exponential growth and complexity of big data, the study delves into the multifaceted challenges posed by its volume, velocity, and variety. Through an extensive literature review, this paper provides an overview of existing studies on data security in big data environments, highlighting the current gaps in understanding. The paper then evaluates strategies employed to fortify data security, emphasizing encryption techniques, access controls, and authentication mechanisms. Drawing insights from real-world case studies, it showcases successful implementations of these strategies, providing practical examples for organizations navigating the intricacies of big data security. As technology continues to evolve, the paper investigates emerging trends in data security, such as the integration of artificial intelligence and machine learning for advanced threat detection, the potential of blockchain for enhancing data integrity, and the adoption of zero-trust architectures. The analysis includes a discussion on the implications of these technologies on the future of data security in big data environments. The methodology section outlines the research design and data collection methods, setting the foundation for the subsequent results and discussion. The results section summarizes key findings, addressing the effectiveness of current strategies and technologies in mitigating data security risks. The discussion section critically analyses the implications of these findings, identifying potential areas for future research and improvement. In conclusion, this paper provides a comprehensive examination of data security in the era of big data, offering valuable insights for practitioners, researchers, and policymakers. By addressing challenges, evaluating strategies, and anticipating future trends, the study contributes to the ongoing discourse surrounding the intersection of data security and big data analytics.

Keywords: Data Security, Big Data, Encryption, Access Controls, Machine Learning, and Blockchain.

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