Quantifying Phishing Susceptibility for Detection and Behavior Decisions.

Casey Inez Canfield, Baruch Fischhoff & Alex Davis
OBJECTIVE: We use signal detection theory to measure vulnerability to phishing attacks, including variation in performance across task conditions. BACKGROUND: Phishing attacks are difficult to prevent with technology alone, as long as technology is operated by people. Those responsible for managing security risks must understand user decision making in order to create and evaluate potential solutions. METHOD: Using a scenario-based online task, we performed two experiments comparing performance on two tasks: detection, deciding whether an...
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