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On identifying phishing emails: Uncertainty in machine and human judgment

机译:关于识别网络钓鱼电子邮件:机器和人工判断的不确定性

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A phishing email is an email in which the sender is engaged in social engineering for the purpose of eliciting private data from the recipient. It is estimated that the loss due to phishing in 2012 was over $1.5 billion. The recommended defense against phishing attacks is to educate a user how not to fall for them. Such campaigns are not the most effective solution, and software systems has been created to identify phishing emails. By and large, these systems are crisp. In this paper, we will report on human perception in identifying phishing emails and apply the fuzzy analysis to the experiment results in order to show that a fuzzy system is much more appropriate for dealing with identification of such emails. We will also demonstrate the system's acceptability to a human user.
机译:网络钓鱼电子邮件是指发件人从事社交工程的电子邮件,目的是从收件人那里获取私人数据。据估计,2012年网络钓鱼造成的损失超过15亿美元。建议的针对网络钓鱼攻击的防御措施是教育用户如何避免遭受网络钓鱼攻击。这样的活动不是最有效的解决方案,并且已经创建了用于识别网络钓鱼电子邮件的软件系统。总的来说,这些系统是酥脆的。在本文中,我们将报告人类在识别网络钓鱼电子邮件中的感知,并将模糊分析应用于实验结果,以表明模糊系统更适合处理此类电子邮件的识别。我们还将向人类用户展示该系统的可接受性。

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