Visible to the public A Human Information-Processing Analysis of Online Deception Detection - July 2016Conflict Detection Enabled

Submitted by drwright on Mon, 06/13/2016 - 10:11am

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; Weining Yang; Aiping Xiong; Wanling Zou

 

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

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ACCOMPLISHMENT HIGHLIGHTS

  • We have designed two online studies to evaluate (a) the effectiveness of different types of phishing warnings and (b) how reliability of a phishing detection system affects users' decisions about the legitimacy of email messages. The significance of these studies arises from the facts that the indequate effectiveness of phishing warnings is an ongoing concern for cybersecurity and our studies should provide insights that can be incorporated into improved warning designs. In addition, we hope to learn how reliable a phishing detection system needs to be to influence users' security decisions.

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