Researchers propose new method for secure, speech-based two-factor authentication

Researchers at the University of Alabama at Birmingham have developed a new method for two-factor authentication via wearables using speech signals.

Reducing the number of tasks users have to perform during traditional two-factor authentication has been an area of focus for emerging technology and security researchers. One method proposed involves using ambient noise to detect the proximity between the two devices being used for authentication, which eliminates the need for a user to type in a numerical code. However, UAB researchers contend this method would leave users vulnerable to malicious mobile device attacks.

In a paper published at the Association for Computing Machinery Conference on Security and Privacy in Wireless and Mobile Networks in June, Nitesh Saxena, Ph.D., and doctoral student Prakash Shrestha propose a system called the "Listening-Watch," a more secure, minimal interaction process using a wearable device, such as a smartwatch or activity tracker, and browser-generated random speech sounds.