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A comparison of features in a crowdsourced phishing warning system
Information Systems Journal ( IF 7.767 ) Pub Date : 2021-03-11 , DOI: 10.1111/isj.12318
Christopher Nguyen 1 , Matthew L. Jensen 2 , Alexandra Durcikova 2 , Ryan T. Wright 3
Affiliation  

Initial research on using crowdsourcing as a collaborative method for helping individuals identify phishing messages has shown promising results. However, the vast majority of crowdsourcing research has focussed on crowdsourced system components broadly and understanding individuals' motivation in contributing to crowdsourced systems. Little research has examined the features of crowdsourced systems that influence whether individuals utilise this information, particularly in the context of warnings for phishing emails. Thus, the present study examined four features related to warnings derived from a mock crowdsourced anti‐phishing warning system that 438 participants were provided to aid in their evaluation of a series of email messages: the number of times an email message was reported as being potentially suspicious, the source of the reports, the accuracy rate of the warnings (based on reports) and the disclosure of the accuracy rate. The results showed that crowdsourcing features work together to encourage warning acceptance and reduce anxiety. Accuracy rate demonstrated the most prominent effects on outcomes related to judgement accuracy, adherence to warning recommendations and anxiety with system use. The results are discussed regarding implications for organisations considering the design and implementation of crowdsourced phishing warning systems that facilitate accurate recommendations.

中文翻译:

众包网络钓鱼警告系统中功能的比较

使用众包作为协作方法来帮助个人识别网络钓鱼邮件的初步研究已显示出令人鼓舞的结果。但是,绝大多数众包研究都集中在众包系统组件上,并了解个人为众包系统做出贡献的动机。很少有研究检查众包系统的功能,这些功能会影响个人是否利用此信息,尤其是在网络钓鱼电子邮件警告的情况下。因此,本研究研究了与模拟的众包反网络钓鱼警告系统中的警告相关的四个功能,该系统提供了438个参与者,以帮助他们评估一系列电子邮件:报告电子邮件潜在可能性的次数可疑的,报告的来源,警告的准确率(基于报告)以及准确率的披露。结果表明,众包功能可以协同工作,以鼓励接受警告并减少焦虑。准确率显示出对结果的最显着影响,这些结果与判断准确度,遵守警告建议和使用系统的焦虑有关。讨论了有关结果对组织的影响,这些组织考虑设计和实施有助于准确建议的众包网络钓鱼警告系统。准确率显示出对结果的最显着影响,这些结果与判断准确度,遵守警告建议和使用系统的焦虑有关。讨论了有关结果对组织的影响,这些组织考虑设计和实施有助于准确建议的众包网络钓鱼警告系统。准确率显示出对结果的最显着影响,这些结果与判断准确度,遵守警告建议和使用系统的焦虑有关。讨论了有关结果对组织的影响,这些组织考虑设计和实施有助于准确建议的众包网络钓鱼警告系统。
更新日期:2021-04-13
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