加强复原力,保护阿富汗妇女免受社会工程学攻击

Musawer Hakimi, Amir Kror Shahidzay, Abdul Wajid Fazil, Khudai Qul Khaliqyar, Mohammad Mustafa Quchi
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引用次数: 0

摘要

本研究探讨了阿富汗女子网络大学女生的网络安全意识和适应能力,重点关注社会工程学威胁。导言强调了动态的网络安全环境,强调了社会工程学攻击利用人类弱点所带来的巨大威胁。这项研究填补了对影响学术界女性脆弱性的细微因素的认识空白,为有针对性的干预措施和政策提供了宝贵的见解。本研究采用稳健的定量方法,采用分层抽样技术,涉及来自不同院系的 170 名女性。采用封闭式和开放式的自填式调查问卷来捕捉参与者的观点。为确保准确性,调查使用问卷等精确工具,细致地确定变量,将其分为自变量、因变量和控制变量。结果描述了不同的网络安全意识,揭示了意识水平和计划有效性的差异。方差分析测试凸显了显著差异,强调了量身定制计划设计的必要性。回归分析探讨了影响脆弱性认知的因素,强调社交媒体上的个人信息共享影响有限。本研究发现了不同类别人群在风险认知方面的显著差异,因此有必要进一步探讨。总之,这项研究为了解在线教育中女性的社交工程脆弱性提供了细致入微的见解,强调了有针对性的干预措施,并考虑了社会文化的细微差别。研究的意义还包括为政策、实践和未来研究提供信息,旨在加强阿富汗女子网络大学对社交工程威胁的防御。
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Strengthening Resilience to Safeguard Women from Social Engineering Attacks in Afghanistan
This study explores cybersecurity awareness and resilience among women at Women Online University in Afghanistan, focusing on social engineering threats. The introduction highlights the dynamic cybersecurity landscape, emphasizing the potent threat of social engineering attacks exploiting human vulnerabilities. Addressing a gap in understanding nuanced factors influencing women's vulnerability in academia, the research provides valuable insights for targeted interventions and policies. Using a robust quantitative methodology, the study involves 170 women from various faculties, employing a stratified sampling technique. Self-administered questionnaires with closed and open-ended inquiries capture participants' perspectives. The investigation meticulously identifies variables, categorizing them into independent, dependent, and control variables, using precise instruments like questionnaires for accuracy. Results depict diverse cybersecurity awareness, revealing variations in awareness levels and program effectiveness. ANOVA tests highlight significant differences, emphasizing the need for tailored program design. Regression analyses explore factors influencing vulnerability perception, emphasizing limited impact from personal information sharing on social media. The study uncovers notable differences in risk perception across categories, necessitating further exploration. In conclusion, this research provides nuanced insights into social engineering vulnerabilities among women in online education, emphasizing tailored interventions and considering socio-cultural nuances. Implications extend to informing policies, practices, and future research, aiming to enhance defense against social engineering threats for Women Online University in Afghanistan.
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