A Human Information-Processing Analysis of Online Deception Detection - April 2015
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
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
- We have conducted a 6-week field experiment using the phishing warning Chrome extension for daily computer use, and have found limitations of the initial experimental design.
- Leaning from these lessons, we have revamped the study design, and obtained IRB approval for the new study.
- We have initiated the study of the science of security warning design by identifying factors that will affect the effectiveness of a warning.