Nasser George, Morrison Ben W, Bayl-Smith Piers, Taib Ronnie, Gayed Michael, Wiggins Mark W
School of Psychology, Charles Sturt University, Bathurst, NSW, Australia.
Department of Psychology, Macquarie University, Sydney, NSW, Australia.
Front Big Data. 2020 Sep 24;3:546860. doi: 10.3389/fdata.2020.546860. eCollection 2020.
Phishing emails represent a major threat to online information security. While the prevailing research is focused on users' susceptibility, few studies have considered the decision-making strategies that account for skilled detection. One relevant facet of decision-making is cue utilization, where users retrieve feature-event associations stored in long-term memory. High degrees of cue utilization help reduce the demands placed on working memory (i.e., cognitive load), and invariably improve decision performance (i.e., the information-reduction hypothesis in expert performance). The current study explored the effect of cue utilization and cognitive load when detecting phishing emails. A total of 50 undergraduate students completed: (1) a rail control task; (2) a phishing detection task; and (3) a survey of the cues used in detection. A cue utilization assessment battery (EXPERTise 2.0) then classified participants with either higher or lower cue utilization. As expected, higher cue utilization was associated with a greater likelihood of detecting phishing emails. However, variation in cognitive load had no effect on phishing detection, nor was there an interaction between cue utilization and cognitive load. Further, the findings revealed no significant difference in the types of cues used across cue utilization groups or performance levels. These findings have implications for our understanding of cognitive mechanisms that underpin the detection of phishing emails and the role of factors beyond the information-reduction hypothesis.
网络钓鱼电子邮件对在线信息安全构成重大威胁。尽管目前的研究主要集中在用户的易感性上,但很少有研究考虑到能够实现熟练检测的决策策略。决策的一个相关方面是线索利用,即用户检索存储在长期记忆中的特征-事件关联。高度的线索利用有助于减少对工作记忆的需求(即认知负荷),并必然会提高决策性能(即专家表现中的信息减少假说)。本研究探讨了在检测网络钓鱼电子邮件时线索利用和认知负荷的影响。共有50名本科生完成了:(1)一项铁路控制任务;(2)一项网络钓鱼检测任务;以及(3)一项关于检测中使用的线索的调查。然后,一个线索利用评估量表(EXPERTise 2.0)将参与者分为线索利用率较高或较低的两类。正如预期的那样,较高的线索利用率与检测到网络钓鱼电子邮件的可能性更大相关。然而,认知负荷的变化对网络钓鱼检测没有影响,线索利用和认知负荷之间也没有相互作用。此外,研究结果显示,不同线索利用组或不同表现水平的参与者在使用的线索类型上没有显著差异。这些发现有助于我们理解支撑网络钓鱼电子邮件检测的认知机制,以及信息减少假说之外的因素的作用。