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Journal of Information and Optimization Sciences cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to: • Information Sciences • Optimization Sciences • Control Theory • Operational Research • Decision Sciences • Information Theory • Information Technology • Computer Networks and Communications • Mathematical Programming • Modelling and Simulation • Database Management • Applications to Engineering Sciences • Applications to Technology

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

Implementing game-based learning techniques to enhance data security awareness among employees in tech industries

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pp. 1727–1734Vol. 47Issue 5-AMay 2026DOI: 10.47974/JIOS-2263XML
Received:
01 Apr 2025
Published Online:
01 May 2026
Article type:
Research Article
Language:
EN
Article no.:
JIOS-2263
Pages:
1727–1734

Abstract

It is very important to keep data safe, especially in the tech field where private data is often at risk. Traditional ways of training don’t get people involved, which make them less successful. A fun and participatory way to learn about hacking is through game-based learning (GBL). GBL helps people remember what they’ve learnt and encourages them to use security best practices by using chores, role-playing, and real-life situations. This paper shows a GBL framework made just for the tech industry. It uses safety ideas and game mechanics to create a safe workplace. The suggested method aims to raise knowledge among employees and lower the hacking risks facing the organization.

Keywords

Subject Classifications

68M2568M99

References

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