Can typing habits prevent cybercrime?

Like fingerprint scans, retina scans, and facial recognition, keystroke dynamics are a biometric -- they measure a unique human characteristic. "As the typing pattern varies from person to person, this can be used as a suitable method for the authentication process more effective than others," wrote the researchers. "The information needed for the process is using the various software systems already present in the computer, leading to a decrease in costs."

The new keystroke template algorithm combines measures from existing models to increase precision. To test their algorithm, the researchers built a program that users could log into using passwords of varying length. While entering their credentials, keystroke dynamics were recorded. Results indicate that their algorithm was successful in decreasing login errors and making improper authentication very unlikely, thus advancing keystroke dynamics analysis as a viable e-security measure.

This method is especially appealing for its relative ease of implementation, as the information needed to evaluate human typing patterns is already present in computers. The researchers do call for additional testing before the new algorithm can be used as a security measure. "We concluded from the results presented that keystroke dynamics analysis holds big potential as an authentication method, but the methods used in the process have to be improved before it can be used as an independent security measure," they wrote.