Overconfidence in Phishing Email Detection

被引:51
|
作者
Wang, Jingguo [1 ]
Li, Yuan [2 ]
Rao, H. Raghav [3 ]
机构
[1] Univ Texas Arlington, Coll Business, Informat Syst & Operat Management, Arlington, TX 76019 USA
[2] Columbia Coll, Business Math & Sci, Columbia, MO USA
[3] Univ Texas San Antonio, Coll Business, Informat Syst & Cyber Secur, San Antonio, TX USA
来源
基金
美国国家科学基金会;
关键词
Phishing Email Detection; Overconfidence; Judgmental Bias; Judgmental Confidence; Judgmental Accuracy; Phishing Detection Self-efficacy; Cognitive Strategies; Motivational Factors; PROBABILITY JUDGMENTS; INFORMATION SEARCH; COGNITIVE EFFORT; SELF-EFFICACY; CONFIDENCE; CALIBRATION; ACCURACY; BEHAVIOR; RESOLUTION; KNOWLEDGE;
D O I
10.17705/1jais.00442
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study examines overconfidence in phishing email detection. Researchers believe that overconfidence (i.e., where one's judgmental confidence exceeds one's actual performance in decision making) can lead to one's adopting risky behavior in uncertain situations. This study focuses on what leads to overconfidence in phishing detection. We performed a survey experiment with 600 subjects to collect empirical data for the study. In the experiment, each subject judged a set of randomly selected phishing emails and authentic business emails. Specifically, we examined two metrics of overconfidence (i.e., overprecision and overestimation). Results show that cognitive effort decreased overconfidence, while variability in attention allocation, dispositional optimism, and familiarity with the business entities in the emails all increased overconfidence in phishing email detection. The effect of perceived self-efficacy of detecting phishing emails on overconfidence was marginal. In addition, all confidence beliefs poorly predicted detection accuracy and poorly explained its variance, which highlights the issue of relying on them to guide one's behavior in detecting phishing. We discuss mechanisms to reduce overconfidence.
引用
收藏
页码:759 / 783
页数:25
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