Abstract

As the Internet has been developed, various online services such as social media services are introduced and widely used by many people. Traditionally, many online services utilize self-certification methods that are made using public certificates or resident registration numbers, but it is found that the existing methods pose the risk of recent personal information leakage accidents. The most popular authentication method to compensate for these problems is biometric authentication technology. The biometric authentication techniques are considered relatively safe from risks like personal information theft, forgery, etc. Among many biometric-based methods, we studied the speaker recognition method, which is considered suitable to be used as a user authentication method of the social media service usually accessed in the smartphone environment. In this paper, we first propose a speaker recognition-based authentication method that identifies and authenticates individual voice patterns, and we also present a synthesis speech detection method that is used to prevent a masquerading attack using synthetic voices.

Highlights

  • As online services that provide many functions to create a relationship between people, such as social media services, are widely used by people

  • Many users use the social media service to contact other people and to get lots of information, and social media services can be accessed by any device that is connected to the Internet. e social media service is very common to the user who is familiar with information technology

  • Social media activities are just everyday things to them. e content on social media is mostly opened to the public, but it is considered as personal data that should be protected from unauthorized people or attackers

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Summary

Introduction

As online services that provide many functions to create a relationship between people, such as social media services, are widely used by people. E cyber security survey [3] revealed that in 2019, 33 percent of organizations worldwide were targets of one to ten social media attacks Even in this situation, many social media users do not carefully manage their accounts or security tokens such as a password. Biometric authentication technologies have begun to be applied to multiple devices such as smartphones and laptops, and the biometric market has expanded as the use of security-critical groups such as companies, government agencies, and financial institutions increases. It is used in mobile applications and telecommunications companies are using speaker recognition technology to ensure that users access their accounts. (i) e proposal of a deep learning method utilizing speech data for user authentication (ii) e demonstration of a masquerading attack to avoid speech-based authentication (iii) e proposal of a novel framework that consists of two main components: user authentication component and synthetic speech detection component

Related Work
Our Proposed Method
Voice-Based Authentication Process
Experiments and Analysis
Findings
Conclusions and Future Work

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