Application of blockchain technology in student learning data security and privacy protection

Abstract

The rapid digital transformation across various sectors has intensified the need for secure, automated management systems to handle sensitive data with integrity and privacy. Traditional systems often struggle to securely manage and authenticate larg e volumes of data, leaving it vulnerable to unauthorized access and breaches. This paper presents an intelligent information management system based on blockchain technology, designed to enhance data security, integrity, and automated access control through decentralized storage, cryptographic algorithms, and smart contracts. The proposed system leverages blockchain's decentralized ledger to offer a tamper-resistant, distributed storage solution, minimizing risks of data tampering and enhancing transparency. Smart contracts add automation to access control and data verification processes, reinforcing system robustness and reducing the potential for human error. This paper's contributions include developing a blockchain-based intelligent data management framework, evaluating its efficacy in real-world scenarios, and demonstrating its advantages over traditional centralized approaches in terms of security, privacy, and operational automation. This study provides a foundational approach to enhance the security and autonomy of digital information systems, enabling more resilient data management infrastructures.