|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 187 - Issue 133 |
| Published: August 2026 |
| Authors: Sam Woodall, Suhair Amer, Ridam Kaphle |
10.5120/ijcaab614c6dc55e
|
Sam Woodall, Suhair Amer, Ridam Kaphle . Learning Platform for Network Segmentation Education. International Journal of Computer Applications. 187, 133 (August 2026), 16-23. DOI=10.5120/ijcaab614c6dc55e
@article{ 10.5120/ijcaab614c6dc55e,
author = { Sam Woodall,Suhair Amer,Ridam Kaphle },
title = { Learning Platform for Network Segmentation Education },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 133 },
pages = { 16-23 },
doi = { 10.5120/ijcaab614c6dc55e },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A Sam Woodall
%A Suhair Amer
%A Ridam Kaphle
%T Learning Platform for Network Segmentation Education%T
%J International Journal of Computer Applications
%V 187
%N 133
%P 16-23
%R 10.5120/ijcaab614c6dc55e
%I Foundation of Computer Science (FCS), NY, USA
Network segmentation is a fundamental cybersecurity practice that enhances network security by dividing a network into smaller, isolated segments to reduce the risk of unauthorized access and limit the spread of cyber threats. However, understanding its concepts and practical applications can be challenging for beginners due to the technical nature of the subject. This study presents the development of a web-based learning platform designed to provide an interactive and engaging approach to learning network segmentation. The platform incorporates structured learning modules, quizzes for knowledge assessment, and a gamification system that awards badges to motivate users and encourage continuous learning. Developed using modern web technologies, the system emphasizes usability, flexibility, and an intuitive user interface to improve the overall learning experience. The platform enables learners to study network segmentation concepts at their own pace while tracking their progress through achievements and assessments. Initial evaluations indicate that the integration of interactive content and gamification enhances user engagement and knowledge retention compared to traditional learning approaches. The developed platform demonstrates the potential of web-based educational systems in supporting cybersecurity education and promoting effective learning of network segmentation concepts.