Development of Cloud-Based e-Learning Repository using SHA-256 Cryptographic Hashing Algorithm

The advancement of information and communication technologies has transformed education through e-learning platforms, a shift accelerated by the COVID-19 pandemic. At Babcock University, the absence of a centralized repository hampers efficient access to learning materials. To address this, a Cloud-based eLearning repository was developed using the SHA-256 cryptographic hashing algorithm for enhanced security. The system, designed with Unified Modeling Language and Agile methodology, employed HTML, CSS, and JavaScript for the front-end, PHP for the back-end, MySQL for authentication data, and Firebase for storing academic resources. Database stress tests exhibited stability and delivered satisfactory performance despite heavy data insertion, with execution times of 749 seconds for sequential reads, 308 seconds for sequential writes, 947 seconds for random reads, and 209 seconds for random writes. SHA-256 delivered strong results, averaging 11.8 cycles per byte and 1653 megabytes per second in throughput, which significantly enhances the security and reliability of the Cloud-based eLearning repository. The developed system demonstrated effectiveness in facilitating the process of making available course materials to students within the Babcock University community. Feedback from users highlights a generally positive experience with the system, emphasizing its ease of use and convenience.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17789051
Primary Topic
Blockchain Technology in Education and Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of Cloud-Based e-Learning Repository using SHA-256 Cryptographic Hashing Algorithm

Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology in Education and Learning
article

Development of Cloud-Based e-Learning Repository using SHA-256 Cryptographic Hashing Algorithm

article en

Abstract

The advancement of information and communication technologies has transformed education through e-learning platforms, a shift accelerated by the COVID-19 pandemic. At Babcock University, the absence of a centralized repository hampers efficient access to learning materials. To address this, a Cloud-based eLearning repository was developed using the SHA-256 cryptographic hashing algorithm for enhanced security. The system, designed with Unified Modeling Language and Agile methodology, employed HTML, CSS, and JavaScript for the front-end, PHP for the back-end, MySQL for authentication data, and Firebase for storing academic resources. Database stress tests exhibited stability and delivered satisfactory performance despite heavy data insertion, with execution times of 749 seconds for sequential reads, 308 seconds for sequential writes, 947 seconds for random reads, and 209 seconds for random writes. SHA-256 delivered strong results, averaging 11.8 cycles per byte and 1653 megabytes per second in throughput, which significantly enhances the security and reliability of the Cloud-based eLearning repository. The developed system demonstrated effectiveness in facilitating the process of making available course materials to students within the Babcock University community. Feedback from users highlights a generally positive experience with the system, emphasizing its ease of use and convenience.

Zenodo (CERN European Organization for Nuclear Research)
Lagos State University (NG), Lagos State University of Science and Technology (NG), Babcock University (NG)
Quality Education
Openalex Percentile: Top 29%
Blockchain Technology in Education and Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Development of Cloud-Based e-Learning Repository using SHA-256 Cryptographic Hashing Algorithm · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS