EDITOR’S NOTE: This story is reprinted from
Scientists at Carnegie Mellon University have developed an online game designed to teach Internet users about the dangers of phishing.
Featuring a cartoon fish named Phil, the game, called Anti-Phishing Phil, has been tested in CMU’s Privacy and Security Laboratory. Officials with the lab say users who spent 15 minutes playing the interactive, online game were better able to discern fraudulent Web sites than those who simply read tutorials about the threat.
The game focuses on teaching Internet users how to tell the URL of a fraudulent site from a legitimate one, officials say. It offers tips such as examining URLs for misspellings of popular sites, dissecting a Web address to understand where it’s pointing to, and using Google to validate a URL against search results.
The lab has now decided to
open up the game for broader testing. Visitors to the site who click on “play the game” are given a short quiz, play the game, and then take another quiz, officials say. Visitors who submit their e-mail addresses and take a follow-up quiz the next week are entered in a raffle to win a $100 Amazon.com gift card.
The game was developed to help raise awareness about phishing attacks, in which spam e-mails that appear to come from a legitimate bank or retail organization try to lure the recipient into entering personal or financial information into a fraudulent Web site, where it can be stolen and used in identity theft.
More than viruses and other malware, users run the risk of falling prey to a phishing attack because these scams rely on social engineering and can’t be protected against by technology, professors at the lab say.
While security experts argue the effectiveness in educating users to be aware of phishing scams, the Ph.D. student who developed Anti-Phishing Phil, Steve Sheng, this summer presented results of a study showing that training improved Internet users’ ability to tell a legitimate Web site from a fraudulent one. According to Sheng’s research, users in the study improved their accuracy in spotting fake sites from 69 percent before playing the game to 87 percent after.
This project is part of a larger CMU antiphishing research initiative funded by the National Science Foundation and the Army Research Office.