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An Efficient Homomorphic Encryption Scheme for Privacy-Preserving Electronic Health Records (EHRs)

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(5), 18
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : October 10, 2025
  • Accepted : October 17, 2025
  • Published : October 31, 2025

Woo-Hyuk Jang 1 Keun-Ho Lee 2

1백석대학교 컴퓨터공학부
2백석대학교

Accredited

ABSTRACT

Electronic health records (EHRs) are medical data including patients' medical information and have important value in public health and clinical research. However, due to regulations such as the Personal Information Protection Act, GDPR, and HIPAA, researchers cannot directly access the original data, limiting their use. Existing studies have applied homogeneous encryption (HE) to enable group-level analysis, but their practicality has been limited due to the high amount of computation. To solve this problem, this study proposes a technique that extracts only the disease code that actually appeared in the recruitment group, constructs the same length vector with zero padding, and applies the Random Slot Permutation (RSP) method. This blocks statistical pattern exposure while ensuring HE operation compatibility, and enables researchers to efficiently aggregate desired statistics using mapping slots. The proposed technique ensures privacy while also supporting simple and practical collective data analysis.

Citation status

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