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Legal Issues in Voice Data Collection for Voice Phishing Prevention

  • Legal Theory & Practice Review
  • Abbr : LTPR
  • 2026, 14(3), pp.695~724
  • Publisher : The Korea Society for Legal Theory and Practice Inc.
  • Research Area : Social Science > Law
  • Received : August 10, 2026
  • Accepted : August 27, 2026
  • Published : August 31, 2026

Saeyoung Park 1

1한양대학교

Accredited

ABSTRACT

This paper aims to address the legal challenges arising under the Personal Information Protection Act when government agencies and telecommunications operators actively collect and share voice data to prevent voice phishing. Voice phishing requires effective prevention because these crimes are highly organized and perpetrators often conceal their identities, making them difficult to identify and apprehend. Moreover, recovering stolen funds is extremely difficult despite the substantial financial losses suffered by victims. Although AI-based deep learning technology for identifying speakers has been developed, improving the accuracy of perpetrator identification requires a large volume of voice data for AI training. Such data must be obtained from telecommunications users, raising important issues concerning the collection and use of personal information. However, under the current Personal Information Protection Act, voice information is classified as sensitive biometric information, and no distinction is made among the original voice captured at the time of utterance, recorded voice files, voiceprint information generated by visualizing voice signals in the frequency domain, and information provided for the purpose of identifying or confirming a suspected perpetrator. Consequently, government agencies and other institutions face difficulties in collecting and providing voice information for crime prevention. Therefore, this paper proposes establishing a differentiated classification based on the sensitivity of voice data under the Personal Information Protection Act and relaxing the legal requirements governing its collection and provision.

Citation status

* References for papers published after 2025 are currently being built.

This paper was written with support from the National Research Foundation of Korea.