A Human Information-Processing Analysis of Online Deception Detection - October 2014

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

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.

ACCOMPLISHMENT HIGHLIGHTS

• Continued to modify the design of our Google Chrome browser extension to protect against phishing attacks, through iterative evaluation.
• Completed procedural details for the study, "Browser Extension to Prevent Phishing Attack", initially designed in the last quarter, including preparation of fliers for recruiting subjects, consent forms, questionnaires, and the interface mentioned in the first bullet, as well as the protocol for conducting the experiment.
• Submitted an application to the Institutional Review Board at Purdue University, which was approved.