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A Content Usage Information De-identification Protocol Design Based on Sensitivity Classification in the OTT Player Agent Environment

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2025, 21(1), pp.13~21
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : December 31, 2024
  • Accepted : March 20, 2025
  • Published : March 31, 2025

Byeongchan Park 1 Seyoung Jang 1 Injae Yoo 1 Seok-Yoon Kim 1 Youngmo Kim 1

1숭실대학교

Accredited

ABSTRACT

In today's Over-The-Top (OTT) player agent environment, the process of collecting and analyzing user data is essential for providing personalized content. However, privacy protection and data security have emerged as critical issues in this process. This paper proposes a Zero-Knowledge Proof (ZKP)-based data anonymization protocol to safeguard user privacy in the OTT player agent environment. First, we analyze existing anonymization techniques and the concept of Zero-Knowledge Proofs to explore their applicability in the process of collecting content usage information in the OTT player agent environment. Additionally, we present an approach that utilizes pseudonymization and encryption techniques based on sensitivity classification to maintain data integrity while protecting personal information. Finally, we evaluate the effectiveness of the proposed methodology by examining its applicability in various scenarios. This study contributes to addressing privacy issues in the OTT player agent environment and serves as a valuable foundation for future advancements in data protection technologies.

Citation status

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