Identification and prevention of expected cybersecurity threats during 2022 FIFA world cup in Qatar

Abstract EN

This research aimed to identify cybersecurity threats expected at the upcoming FIFA World Cup in Qatar in 2022 and assess how they can be prevented.

this was done by adopting a quantitative research design and survey strategy with 167 respondents from Qatar.

the respondents were selected from the event industry, and a Likert scale was used to quantify the responses for further statistical analysis.

a hypothesis was tested as to whether the perceived expected cybersecurity threats are significantly associated with the perceived quality of measures to tackle these threats.

the testing was done using multiple methods, including principal component analysis (PCA) and cross-sectional linear regression analysis.

the study also used frequency tables, descriptive statistics, independent samples t-test, One-way ANOVA and correlation analysis.

the results revealed high loadings of potential cyberattacks on sponsors, fans, online ticket sales, the government and FIFA website based on the PCA.

the regression analysis revealed a statistically significant association between the perception of the cybersecurity risks and the perceived quality of measures undertaken to address the cyber threats.

the research was limited, however, by not covering technical issues of cybersecurity, including the development of improvements to current security systems, which presents an area for future research with the implementation of machine learning technologies, big data and a1 training.

the study provided recommendations for policymakers to invest in technologies for the protection of sensitive data, including online databases and hiring competent specialists in the field of cybersecurity.

to address the risks for fans, policymakers are recommended to start a campaign aimed at increasing the awareness of cyberattacks on personal and financial information at large events.