Researchers Find Way to Identify Fraudsters Online

Carnegie Mellon University researchers are relying on an old adage to develop anti-fraud software for Internet auction sites: It's not what you know, it's who you know. The CMU software looks for patterns of users who have repeated dealings with one another, and alerts other users that there is a higher probability of having a fraudulent transaction with them.

  • Read the article: USA Today