Designing Resilient Intelligent Systems with Blockchain-Based Authentication and Data Integrity Mechanisms

Abstract

The rapid expansion of intelligent systems across domains such as healthcare, finance, industrial automation, and smart cities has introduced significant challenges related to security, trust, and data integrity. As these systems increasingly rely on distributed data sources and autonomous decision-making, ensuring reliable authentication mechanisms and protecting data from tampering becomes essential. Traditional centralized security models often struggle to maintain resilience in environments where multiple stakeholders interact, and where malicious actors may attempt to compromise system operations. Consequently, researchers and engineers have begun exploring decentralized technologies to strengthen the trustworthiness of intelligent infrastructures.The study contributes to the growing body of research on secure intelligent systems by demonstrating how blockchain technologies can strengthen authentication processes and preserve the integrity of data used by machine learning models.