부산대학교 도서관

The traditional method of authentication using a one-time password does not provide enough security for web pages or applications that are a gateway to sensitive information/data. Sensitive data breaches have become a common thing in today’s world and have caused great losses to individuals, organizations and nations as well. With advancement in technology, access to OTP has become a piece of cake and sensitive data has become vulnerable. Given the gravity of the situation, a more secure way of authentication has become the need of the hour, therefore voice-based authentication is a better successor to the traditional method and is more secure. In this paper we have collected the voice sample and processed it using the MFCC method to extract the voice print and then used Gaussian Mixture Model to find similarity between the stored voice and the live voice.