Blockchain-Integrated Privacy-Preserving Distributed Mobile E-Learning Architectures for Secure and Autonomous Student Data Management

Abstract

The rapid increase in distributed mobile e-learning systems has resulted in numerous security threats, including student data protection, secure access, transparency, and decentralized education management. Traditional cloud-based e-learning systems have been prone to various risks, such as centralization vulnerability, data access violations, identity theft, and lack of scalability in a highly variable wireless learning environment. This paper proposes a blockchain-integrated, privacy-preserving, distributed mobile e-learning architecture for securely and autonomously managing student data. In this framework, blockchain technology will be used for ensuring a decentralized ledger, lightweight cryptography, smart contract-based authentication, and distributed data storage. Blockchain transaction verification, data encryption and sharing, distributed data storage, and smart contract execution are the methodologies utilized by this system to ensure secure academic record and activity management in a mobile environment. The evaluation of the proposed architecture will involve performance measurement of the following parameters: authentication accuracy, privacy protection capability, transaction processing speed, throughput, and data storage efficiency. It was revealed from experimental studies that the suggested approach provided 98.3% in terms of identification, 97.5% in relation to data privacy protection, and 91.8% concerning storage efficiency compared to other methods, including traditional cloud-based learning systems and previous blockchain-based education platforms. In addition, the suggested system enabled reducing the transaction time to 190 ms and increasing the throughput speed up to 465 transactions per second, which proves its high efficiency and capability of functioning in a distributed wireless environment. Therefore, it can be stated that introducing blockchain technology in distributed mobile e-learning systems enhances the level of privacy, resilience against malicious attacks, traceability, and autonomy in controlling personal information. The introduced concept provides a basis for designing a highly reliable and scalable framework for the future generation of wireless educational communities based on the management of decentralized and reliable data.