Experiential Learning Through Immersive XR: Cybersecurity Education for Critical Infrastructures

被引:0
|
作者
Lee, Anthony [1 ]
King, Kenneth [1 ]
Gracanin, Denis [1 ]
Azab, Mohamed [2 ]
机构
[1] Virginia Tech, Blacksburg, VA 24060 USA
[2] Virginia Mil Inst, Lexington, VA 24450 USA
关键词
Artificial Intelligence (AI); Digital Twins; Critical Infrastructures; Cybersecurity; Large Language Models (LLM); Internet of Things (IoT);
D O I
10.1007/978-3-031-61382-1_4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
with computer systems, critical infrastructures face vulnerability to a variety of cyber-attacks, stemming from the absence of a cybersecurity mindset within these establishments. We need to efficiently educate these workers about the cybersecurity threats that exist, their potential effects, and the subsequent substantial impact on human populations. Previous research has suggested traditional non-interactive training methods are often not effective. We propose an interactive learning experience that incorporates Extended Reality, Digital Twins, and Artificial Intelligence (AI) to help workers become more aware of cybersecurity issues within their critical infrastructure. This paper introduces an innovative testbed that seamlessly integrates Artificial Intelligence (AI) and Large Language Models to create an immersive educational experience. The goal is to effectively convey complex technical concepts to users with limited background knowledge on the subject. Our specific focus lies in addressing the need for proper cybersecurity training among water treatment plant employees. The testbed presented is meticulously crafted to provide users with a tangible representation of the potential outcomes resulting from successful cyber attacks on such facilities. Through this approach, we aim to enhance the educational process and promote a deeper understanding of cybersecurity challenges in critical infrastructure like water treatment plants.
引用
收藏
页码:56 / 69
页数:14
相关论文
共 50 条
  • [21] Immersive virtual reality in experiential learning for architecture design education: an action research
    Ummihusna, Annisa
    Zairul, Mohd
    Ab Jalil, Habibah
    Sulaiman, Puteri Suhaiza
    JOURNAL OF APPLIED RESEARCH IN HIGHER EDUCATION, 2024,
  • [22] Preface to the special issue on Cross Reality (XR) and Immersive Learning Environments (ILE) in education
    Wang, Minjuan
    Ryoo, Jungwoo
    Winkelmann, Kurt
    INTERACTIVE LEARNING ENVIRONMENTS, 2020, 28 (05) : 539 - 542
  • [23] Threats, Attacks, and Cryptography Frameworks of Cybersecurity in Critical Infrastructures
    Tsantikidou, Kyriaki
    Sklavos, Nicolas
    CRYPTOGRAPHY, 2024, 8 (01)
  • [24] CYBERSECURITY VULNERABILITIES AND THREATS OF SCADA SYSTEMS IN CRITICAL INFRASTRUCTURES
    Savin, Vlad Daniel
    Serban, Costel
    PROCEEDINGS OF THE 13TH INTERNATIONAL MANAGEMENT CONFERENCE: MANAGEMENT STRATEGIES FOR HIGH PERFORMANCE (IMC 2019), 2019, : 234 - 237
  • [25] A Cybersecurity Culture Survey Targeting Healthcare Critical Infrastructures
    Gioulekas, Fotios
    Stamatiadis, Evangelos
    Tzikas, Athanasios
    Gounaris, Konstantinos
    Georgiadou, Anna
    Michalitsi-Psarrou, Ariadni
    Doukas, Georgios
    Kontoulis, Michael
    Nikoloudakis, Yannis
    Marin, Sergiu
    Cabecinha, Ricardo
    Ntanos, Christos
    HEALTHCARE, 2022, 10 (02)
  • [26] CYBERSECURITY LAW OF CRITICAL INFRASTRUCTURES: BEYOND THE CRIMINAL PERSPECTIVE
    Fernandez Garcia, Eduardo
    REVISTA JURIDICA DE CASTILLA Y LEON, 2022, (56): : 109 - 142
  • [27] Creating an Immersive XR Learning Experience: A Roadmap for Educators
    Meccawy, Maram
    ELECTRONICS, 2022, 11 (21)
  • [28] Walkable auralizations for experiential learning in an immersive classroom
    Chabot, Samuel
    Braasch, Jonas
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2022, 152 (02): : 899 - 910
  • [29] EXPERIENTIAL LEARNING, COMPETENCE AND CRITICAL PRACTICE IN HIGHER-EDUCATION
    HYLAND, T
    STUDIES IN HIGHER EDUCATION, 1994, 19 (03) : 327 - 339
  • [30] Architectural View of Non-face-to-face Experiential Learning Through the Immersive Technologies
    Mukkawar, Vinayak V.
    Netak, Laxman D.
    Nikam, Valmik B.
    INTELLIGENT HUMAN COMPUTER INTERACTION, IHCI 2021, 2022, 13184 : 282 - 291