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On identifying phishing emails: Uncertainty in machine and human judgment

机译:识别网络钓鱼电子邮件:机器和人为判断中的不确定性

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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一封电子邮件,其中发件人从事社交工程,以引出来自收件人的私人数据。据估计,2012年由于网络钓鱼的损失超过了15亿美元。对网络钓鱼攻击的推荐防御是教育用户如何不堕落。此类广告系列不是最有效的解决方案,并且已创建软件系统以识别网络钓鱼电子邮件。通过和大,这些系统是清脆的。在本文中,我们将报告在识别网络钓鱼电子邮件时的人类感知,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。我们还将展示系统对人类用户的可接受性。

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