Innovative approaches in data management and cybersecurity: Insights from recent studies

Mikhalov Alojo *

University of Western, Ukraine.
 
Research Article
World Journal of Advanced Research and Reviews, 2024, 23(03), 2410–2425
Article DOI: 10.30574/wjarr.2024.23.3.2897

 

 

 
Publication history: 
Received on 11 August 2024; revised on 21 September 2024; accepted on 23 September 2024
 
Abstract: 
The increasing complexity of data management systems, coupled with the evolving nature of cybersecurity threats, necessitates innovative approaches to ensure data integrity, confidentiality, and availability. This paper explores recent studies on advanced data management strategies and their intersection with cybersecurity practices. Key insights are drawn from the latest research on topics such as distributed ledger technologies, artificial intelligence-driven threat detection, and privacy-preserving data management frameworks. The analysis highlights how these emerging technologies are reshaping the landscape of data management while addressing cybersecurity challenges. Additionally, this paper examines the role of regulation and policy in fostering secure data ecosystems. The findings offer a comprehensive overview of current trends, challenges, and opportunities in the field, with recommendations for future research directions.
 
Keywords: 
Artificial Intelligence; Cybersecurity; Data Management; Distributed Ledger; Privacy
 
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