DECENTRALIZED PRIVACY SOLUTIONS FOR BIG DATA: THE PROMISE OF DISTRIBUTED LEDGER TECHNOLOGIES

Abstract

The exponential growth of Big Data has heightened concerns surrounding privacy, security, and data ownership. Traditional centralized models often struggle to provide scalable and resilient privacy assurances. Distributed Ledger Technologies (DLTs) such as blockchain offer decentralized frameworks that enhance privacy, integrity, and control over Big Data assets. This article explores the potential of decentralized privacy solutions by examining the integration of DLTs into Big Data ecosystems. We discuss emerging frameworks, key technological innovations, and challenges in adoption. Graphical analysis further highlights trends in adoption and security improvements.