Blockchain – Based Authentication System

Abstract

Authentication management has become a major challenge in the modern digital era, especially due to the rapid increase in cyber threats, identity theft, and data breaches. Traditional authentication systems are mostly centralized and do not consider issues like data tampering, single-point failure, and unauthorized access. This often leads to compromised user privacy, security risks, and lack of trust in digital systems. To address this problem, this paper introduces a Blockchain-Based Authentication System with AI Integration, a secure and intelligent identity verification framework. The system uses blockchain technology to create immutable and tamper-proof records of authentication activities, while Artificial Intelligence (AI) enhances the verification process through fraud detection, anomaly analysis, and document validation. The AI module incorporates Optical Character Recognition (OCR) and machine learning algorithms to detect forged or duplicate credentials before storing verified data on the blockchain. In addition, a decentralized storage system using IPFS ensures data privacy by separating sensitive information from blockchain transactions. The results show that the system provides a secure, transparent, and efficient authentication process, reducing verification time from weeks to seconds compared to traditional methods. By combining blockchain with AI, the proposed system improves trust, accuracy, and security. Overall, this system supports reliable digital authentication by minimizing risks, enhancing data integrity, and promoting secure identity management.