Blockchain-Integrated Privacy-Preserving Distributed Mobile E-Learning Architectures for Secure and Autonomous Student Data Management
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 educationmanagement. Traditional cloud-based e-learning systems have been prone to various risks, such ascentralization vulnerability, data access violations, identity theft, and lack of scalability in a highlyvariable wireless learning environment. This paper proposes a blockchain-integrated,privacy-preserving, distributed mobile e-learning architecture for securely and autonomouslymanaging student data. In this framework, blockchain technology will be used for ensuring adecentralized ledger, lightweight cryptography, smart contract-based authentication, and distributeddata storage. Blockchain transaction verification, data encryption and sharing, distributed datastorage, and smart contract execution are the methodologies utilized by this system to ensure secureacademic record and activity management in a mobile environment. The evaluation of the proposedarchitecture will involve performance measurement of the following parameters: authentication accuracy, privacy protection capability, transaction processing speed, throughput, and data storageefficiency. 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 storageefficiency compared to other methods, including traditional cloud-based learning systems andprevious blockchain-based education platforms. In addition, the suggested system enabled reducingthe 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-learningsystems enhances the level of privacy, resilience against malicious attacks, traceability, andautonomy in controlling personal information. The introduced concept provides a basis for designinga highly reliable and scalable framework for the future generation of wireless educationalcommunities based on the management of decentralized and reliable data.