Exploring Cybersecurity Education and Training Techniques: A Comprehensive Review of Traditional, Virtual Reality, and Augmented Reality Approaches

Author:

Alnajim Abdullah M.1ORCID,Habib Shabana1ORCID,Islam Muhammad2ORCID,AlRawashdeh Hazim Saleh3,Wasim Muhammad4ORCID

Affiliation:

1. Department of Information Technology, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia

2. Department of Electrical Engineering, College of Engineering, Qassim University, Unaizah 56452, Saudi Arabia

3. Department of Computer Science, College of Engineering and Information Technology, Onaizah Colleges, Onaizah 56447, Saudi Arabia

4. Department of Computer Science, Islamia College Peshawar, Peshawar 25120, Pakistan

Abstract

Considering the alarming increase in cyberattacks and their potential financial implications, the importance of cybersecurity education and training cannot be overstated. This paper presents a systematic literature review that examines different cybersecurity education and training techniques with a focus on symmetry. It primarily focuses on traditional cybersecurity education techniques and emerging technologies, such as virtual reality (VR) and augmented reality (AR), through the lens of symmetry. The main objective of this study is to explore the existing cybersecurity training techniques, identify the challenges involved, and assess the effectiveness of cybersecurity training based on VR and AR while emphasizing the concept of symmetry. Through careful selection criteria, 66 primary studies were selected from a total of 150 pertinent research studies. This article offers valuable insights into the pros and cons of conventional training approaches, explores the use of VR and AR in cybersecurity education concerning symmetry, and thoroughly discusses the challenges associated with these technologies. The findings of this review contribute significantly to the continuing efforts in cybersecurity education by offering recommendations for improving employees’ knowledge, engagement, and motivation in cybersecurity training programs while maintaining symmetry in the learning process.

Funder

Deanship of Scientific Research Qassim University

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Reference101 articles.

1. U.S. Federal Bureau of Investigation (2023, June 07). Internet Crime Report 2020, Available online: https://www.ic3.gov/Media/PDF/AnnualReport/2020_IC3rpeort.pdf.

2. WSAV (2023, June 07). Data Brechers, Annual Report. Available online: https://www.wsav.com/wp-content/uploads/sites/75/2022/01/20220124_ITRC-2021-Data-Breach-Report.pdf.

3. Alnajim, A.M., Habib, S., Islam, M., Albelaihi, R., and Alabdulatif, A. (2023). Mitigating the Risks of Malware Attacks with Deep Learning Techniques. Electronics, 12.

4. U.S. Federal Bureau of Investigation (2023, June 07). 2022 Internet Crime Report, Available online: https://www.fbi.gov/contact-us/field-offices/springfield/news/internet-crime-complaint-center-releases-2022-statistics.

5. Cyber security training for critical infrastructure protection: A literature review;Chowdhury;Comput. Sci. Rev.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3