TY - GEN
T1 - Evaluating and Boosting Cybersecurity Awareness With an AI-Integrated Mobile App
AU - Alalawi, Meera
AU - Madathil, Nisha Thorakkattu
AU - Darota, Simon Kebede
AU - Abula, Winner
AU - Alrabaee, Saed
AU - Melhem, Suhib Bani
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This innovative practice full paper describes cyber-security Awareness With an AI-Integrated Mobile Application. In the current digital age, where technology and interactions are closely intertwined, the importance of cybersecurity awareness has escalated. It is essential for protecting individuals, organi-zations, and national security. This awareness enables people to make well-informed decisions and apply effective measures against cyberattacks. Human errors and behaviors often in-advertently lead to vulnerabilities, risking exposure to cyber threats. This paper focuses on developing an AI -enhanced mobile application tailored for diverse user groups: children under 14, teenagers between 14 and 18, adults over 18 (including university students, graduates, and the unemployed), and employees. The application aims to evaluate and offer extensive cybersecurity education content divided into three levels for each category, including lessons, videos, stories, scenarios, and exercises to enhance individual awareness levels. Additionally, it leverages AI to provide engaging cybersecurity responses, assess individuals, and support users with chatbot assistance. This strategy educates and empowers users, contributing to a more secure digital landscape.
AB - This innovative practice full paper describes cyber-security Awareness With an AI-Integrated Mobile Application. In the current digital age, where technology and interactions are closely intertwined, the importance of cybersecurity awareness has escalated. It is essential for protecting individuals, organi-zations, and national security. This awareness enables people to make well-informed decisions and apply effective measures against cyberattacks. Human errors and behaviors often in-advertently lead to vulnerabilities, risking exposure to cyber threats. This paper focuses on developing an AI -enhanced mobile application tailored for diverse user groups: children under 14, teenagers between 14 and 18, adults over 18 (including university students, graduates, and the unemployed), and employees. The application aims to evaluate and offer extensive cybersecurity education content divided into three levels for each category, including lessons, videos, stories, scenarios, and exercises to enhance individual awareness levels. Additionally, it leverages AI to provide engaging cybersecurity responses, assess individuals, and support users with chatbot assistance. This strategy educates and empowers users, contributing to a more secure digital landscape.
KW - Artifi-cial Intelligence
KW - Cybersecurity
KW - Cybersecurity Awareness
KW - Mobile Application
UR - https://www.scopus.com/pages/publications/105000633298
UR - https://www.scopus.com/pages/publications/105000633298#tab=citedBy
U2 - 10.1109/FIE61694.2024.10893003
DO - 10.1109/FIE61694.2024.10893003
M3 - Conference contribution
AN - SCOPUS:105000633298
T3 - Proceedings - Frontiers in Education Conference, FIE
BT - 2024 IEEE Frontiers in Education Conference, FIE 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 54th IEEE Frontiers in Education Conference, FIE 2024
Y2 - 13 October 2024 through 16 October 2024
ER -