Cybersecurity Education Through Mobile Application to Prevent Cyber Attacks During Covid-19

Authors

  • Chan Xin Ying Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Intan Farahana Kasmin Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Salmiah Amin Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Nur Khairunnisha Zainal Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.69511/ijdsaa.v4i0.139

Keywords:

Cybersecurity education, mobile applications, cyber attack

Abstract

Since Covid-19 pandemic, population in all the world have change their lifestyle in order to suppress the virus transmission. The popularised of digital technology give a great opportunity to the cybercrimes to conduct their cyberattack activities. Since the pandemic, the cybercrimes have manipulated the victims as the source of financial income. The main aim of this research is to develop mobile application to educate people on cybersecurity and prevent them from being attacked. 400 of Malaysian who are not adequate the cybersecurity knowledge is involved in the questionnaire survey. The proposed system has implemented stratified sampling method which falls under probability sampling. In the questionnaire, clear instructions will be given with either ranking questions or rating questions. As a consequence, the proposed mobile application is important to the Malaysian in order to reduce the cyberattack occurred in any individuals. By using the mobile application, the public may increase the cybersecurity awareness as well as having precaution on getting cyberattacks. The future recommendations can more focus on the functionality of the mobile application and related topic on the cybersecurity education.

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Published

2023-06-17

How to Cite

Ying, C. X., Kasmin, I. F., Amin, S., & Zainal, N. K. (2023). Cybersecurity Education Through Mobile Application to Prevent Cyber Attacks During Covid-19. International Journal of Data Science and Advanced Analytics, 4(2), 27–33. https://doi.org/10.69511/ijdsaa.v4i0.139

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