A Human Information-Processing Analysis of Online Deception Detection

Public Audience
Purpose: To highlight project progress. Information is generally at a higher level which is accessible to the interested public. All information contained in the report (regions 1-3) is a Government Deliverable/CDRL.

PI(s):  Robert W. Proctor, Ninghui Li
Researchers: Jing Chen; Chris Gates, Weining Yang

HARD PROBLEM(S) ADDRESSED

• Human Behavior - Predicting individual users’ judgments and decisions regarding possible online deception.  Our research addresses this problem within the context of examining user decisions with regard to phishing attacks. This work is grounded within the scientific literature on human decision-making processes.

PUBLICATIONS
Report papers written as a results of this research. If accepted by or submitted to a journal, which journal. If presented at a conference, which conference.

None.

ACCOMPLISHMENT HIGHLIGHTS

• Designed a Google Chrome browser extension to protect against phishing attacks. When a user tries to visit a suspicious website and enter information, this browser extension will warn the user about the potential risk.
• Designed an initial study, “Browser Extension to Prevent Phishing Attack”,  to evaluate in everyday computer use whether this browser extension is effective and usable.  This study represents an initial step in evaluating the roles of implicit and explicit cognitive processes in decisions about possible deception.