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10.13.05
Neural Networking Against Online Fraud
 By
John Stith
PassMark announced their new version 2.0 of their Two-Factor Two-Way Authentication system. The package is designed to give financial institutions and their customers protection against phishing, spoofing, keyboard logging and other attacks.
The key to the system is neural networking, designed for real-time decision-making Neural networks learn as they go, organizing and generalizing information so they can predict new and emerging behavioral patters, not just react to what has happened before.
"Fraudsters are creative and resourceful, continually modifying their schemes to escape detection. Our use of neural network technology will help keep our clients ahead of fraudsters, spotting threats never before seen and reacting as they happen, before it is too late," said Bill Harris, founder and chairman of PassMark Security.
The PassMark system provides two-way, two-factor authentication.
-- Two-Factor Authentication. The PassMark system delivers strong authentication by remotely identifying a customer's computers, and using them as "second-factor" authenticating hardware. In this way, strong security is achieved without requiring the customer to install any new software or carry any new identifying hardware, such as smart cards or other tokens.
-- Two-Way Authentication. Each online customer receives a "PassMark" -- a secret image and text known only to the bank and that customer. When a customer sees his (or her) secret PassMark on an email or Web site, he instantly knows he is dealing with the real ecommerce provider, not an imposter.
About the Author:
John is a recent PR grad with a big interest in international security. |
