"BYU Professors Can Detect Identity Fraud by Tracking Computer Keystrokes"

A team of Brigham Young University (BYU) professors have developed a technology that uses hidden JavaScript to detect online identity fraud by measuring the speed and manner with which someone types. The detection system was refined over four observational studies with more than 1,000 participants. It was demonstrated to be 95.5 percent accurate at determining "fraudulent activity" in experimental settings where subjects entered personal information (e.g., names and email addresses) and information belonging to other people on online forms. In regards to names and login information, humans naturally develop muscle memory, thus resulting in faster typing, according to study author David Wilson, a BYU professor of information systems. His research team has long realized that entering stolen credentials should take longer than entering one's own information. This article continues to discuss the study on detecting identity fraud.

Brigham Young University reports "BYU Professors Can Detect Identity Fraud by Tracking Computer Keystrokes"

Submitted by grigby1

Submitted by grigby1 CPVI on