IDENTIFICATION AND PREVENTION OF EXPECTED CYBERSECURITY THREATS DURING 2022 FIFA WORLD CUP IN QATAR

N. A. Khalifa
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引用次数: 1

Abstract

Purpose: 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. Methodology: This was done by adopting a quantitative research design and survey strategy with 167 respondents from Qatar. The respondents were purposively sampled from the event industry, and a Likert scale was used to quantify the responses for further statistical analysis. The quantitative data collected was analysed using the SPSS version 25 for data 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.  Further analysis was done using One-way ANOVA and correlation analysis, as well as, independent samples t-test. Descriptive statistics, such as percentages and frequencies were used, with tables and charts used in presenting the findings. Findings: The results revealed high loadings of potential cyberattacks on sponsors, fans, online ticket sales, government and the FIFA website based on the PCA. The regression analysis revealed a statistically significant association between the perception of the cybersecurity risks and 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 AI training. Contribution: 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.
2022年卡塔尔世界杯期间预期网络安全威胁的识别和预防
目的:本研究旨在确定即将于2022年在卡塔尔举行的国际足联世界杯预计会出现的网络安全威胁,并评估如何预防这些威胁。方法:采用定量研究设计和调查策略,来自卡塔尔的167名受访者。受访者有目的地从活动行业中抽样,并使用李克特量表来量化回应,以进行进一步的统计分析。收集的定量数据采用SPSS 25进行数据分析。我们检验了一个假设,即感知到的预期网络安全威胁是否与应对这些威胁的措施的感知质量显著相关。采用主成分分析(PCA)和横截面线性回归分析等多种方法进行检验。进一步分析采用单因素方差分析和相关分析,以及独立样本t检验。使用描述性统计,如百分比和频率,并使用表格和图表来展示调查结果。结果显示,基于PCA,赞助商、球迷、在线门票销售、政府和国际足联网站遭受了大量潜在的网络攻击。回归分析显示,对网络安全风险的感知与应对网络威胁措施的感知质量之间存在统计学上显著的关联。然而,由于没有涵盖网络安全的技术问题,包括对当前安全系统的改进,这为未来的机器学习技术、大数据和人工智能培训的实施提供了一个研究领域,因此研究是有限的。贡献:该研究为政策制定者提供了投资于敏感数据保护技术的建议,包括在线数据库和雇佣网络安全领域的合格专家。为了解决球迷面临的风险,建议政策制定者发起一项运动,旨在提高人们对大型赛事中针对个人和财务信息的网络攻击的认识。
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