Development of Voice Phishing Damage Prevention Service Misusing Deep Voice 


Vol. 47,  No. 10, pp. 1677-1685, Oct.  2022
10.7840/kics.2022.47.10.1677


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  Abstract

Deep Voice is a speech synthesis technology using AI that provides an opportunity for anyone to easily access speech synthesis and manipulation through online. This causes not only the production of altered content that synthesizes voice, but also the spread of cybercrime by misusing the content. A representative example of a similar crime is voice phishing, and there are appearing voice phishing crimes that misuse deep voice abroad as well as in Korea, so a service that can reduce damage should be developed. The victims are not only celebrities, public institutions, financial companies, etc., but also acquaintances or family members. In this study, we are going to propose a service (program) to prevent voice phishing damage that may occur in the course of telephony misusing deep voice technology. This service intend to develop this service for the purpose of distinguishing the actual speaker from the deep voice through the processes of deep learning, voice synthesis, speaker recognition, speaker identification, and speaker verification. It is expected that it will be linked to the expansion of services that can avoid the risk of various crimes as well as simple voice phishing.

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[IEEE Style]

S. Kim and S. Lee, "Development of Voice Phishing Damage Prevention Service Misusing Deep Voice," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 10, pp. 1677-1685, 2022. DOI: 10.7840/kics.2022.47.10.1677.

[ACM Style]

Sowoon Kim and Sungtaek Lee. 2022. Development of Voice Phishing Damage Prevention Service Misusing Deep Voice. The Journal of Korean Institute of Communications and Information Sciences, 47, 10, (2022), 1677-1685. DOI: 10.7840/kics.2022.47.10.1677.

[KICS Style]

Sowoon Kim and Sungtaek Lee, "Development of Voice Phishing Damage Prevention Service Misusing Deep Voice," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 10, pp. 1677-1685, 10. 2022. (https://doi.org/10.7840/kics.2022.47.10.1677)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880