Blockchain for Data Integrity and Provenance

Abstract

Ensuring data integrity and provenance is increasingly critical in today’s digital landscape, where threats such as tampering, forgery, and manipulation are prevalent. Blockchain technology offers a decentralized, immutable, and transparent solution for securing data and tracing its origin. This paper explores the core concepts of data integrity and provenance, evaluates blockchain’s contribution through features like cryptographic security, decentralization, and smart contracts, and compares it to traditional centralized security mechanisms. Use cases across supply chain, healthcare, finance, and digital governance demonstrate blockchain's real-world applicability in enhancing transparency, trust, and auditability. Furthermore, the paper addresses key challenges such as scalability, regulatory compliance, and energy consumption, along with mitigation strategies involving consensus mechanisms and Layer-2 solutions. A forward-looking view is presented through the integration of blockchain with emerging technologies like Artificial Intelligence, Internet of Things, and Cloud Computing. This convergence enables secure, autonomous, and real-time decision-making systems. By fostering trust, accountability, and innovation, blockchain-based solutions have the potential to shape a secure and sustainable digital ecosystem for the next generation of data-driven applications.