My Voiceprint Is My Authenticator: A Two-Layer Authentication Approach Using Voiceprint for Voice Assistants
Yun-Tai Chang, Marc Dupuis · 2019
Voice assistants are a ubiquitous service of contemporary daily life. Their intuitive use and 24-hour-a-day convenience make them popular with an increasing user base. However, the security of voice assistants not not increased commensurate with the rising number of users and their increasing technical abilities. The lack of an authentication mechanism gives attackers an opportunity to exploit voice assistants to control and get personal information from linked services. The goal of this research is to provide an authentication method that protects voice assistants from attacks without degrading their usability. We utilize Microsoft Azure Speaker Recognition API and Google Speech API to implement an Android application to examine the approach. The results indicate that the voice authentication method can resist replay attacks and be easily learned and used.