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

Odiljon Raxmatov,Malohat Narbayeva,4 Authors,Matluba Xalmatova

2026 · DOI: 10.58346/jowua.2026.i2.010
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications · 0 Citations

TLDR

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.

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.