用户对反钓鱼安全提示的认知研究及社会人口学认知的影响

IF 0.8 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
A. A. Orunsolu, O. Afolabi, A. Sodiya, A. Akinwale
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引用次数: 6

摘要

安全提示现在被用作一种方法,使在线用户避免成为欺诈骗局的牺牲品。这些安全提示通常以电子邮件、短信或在线帖子的形式发布,用户可以很容易地访问这些提示。在这项工作中,网络钓鱼攻击模拟了各种线索,这些线索可以在诸如欺诈性电子邮件、短信和网页中获得,用于调查尼日利亚银行使用的安全提示的有效性,以使客户对在线威胁做好准备。共有427名受访者参与了这项研究,他们是从奥贡州的三所高等教育机构中有意挑选出来的。每个受访者被要求识别五个不同的网络钓鱼线索的消息,以评估他们对安全提示消息的理解。以95%置信区间计算的结果表明,58.91%的人在第一个属性上失败,58.59%的人在第二个属性上失败,58.73%的人在第三个属性上失败。74.24%的参与者不能正确识别虚假电子邮件(第四个属性),76.71%的参与者不能正确识别钓鱼银行验证号更新信息(第五个属性)。使用曼·惠特尼测试,结果进一步表明,总体而言,不及格的人明显多于通过的人。此外,还提出了一个回归模型来评估研究中使用的社会人口因素的影响。结果显示,性别、学历和使用者的电脑知识显著影响其识别钓鱼讯息的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Users' Awareness Study and Influence of Socio-Demography Perception of Anti-Phishing Security Tips
Security tips are now used as a method of priming online users from falling prey for fraudulent scams. These security tips usually come as email, SMS or online posts where they can be easily accessed by the users. In this work, phishing attacks are simulated with varying cues that are available in such fraudulent email messages, SMS and web pages were used to investigate the effectiveness of the security tips used by Nigerian banks to prime their customers of online threats. A total of 427 respondents, purposively selected from three tertiary institutions in Ogun State, participated in the study. Each respondent was asked to identify five messages with varying phishing cues to evaluate their understanding of the security tips messages. The results which were computed at 95% Confidence Interval, indicated that 58.91% failed on the first attribute, 58.59% failed on the second attribute while 58.73% failed on the third attribute. 74.24% of the participant could not correctly identify a fake email message (fourth attribute) while 76.71% could not correctly identify a phished bank verification number update message (fifth attribute). Using the Mann Whitney Test, the result further showed that overall, those who failed the test are significantly more than those who passed. Moreover, a regression model is proposed to evaluate the influence of the socio demographic factors used in the study. This result indicated that gender, academic qualification and user's computer knowledge significantly influences their ability to recognize phished messages.
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来源期刊
Acta Informatica Pragensia
Acta Informatica Pragensia Social Sciences-Library and Information Sciences
CiteScore
1.70
自引率
0.00%
发文量
26
审稿时长
12 weeks
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