Decentralized Electronic Health Record Management with Semantic-Aware Hierarchical Encryption

The rising incidence of cyberattacks targeting electronic health records (EHR) in Indonesia necessitates a robust and context-aware data protection scheme. This paper proposes a decentralised EHR management system that leverages blockchain, IPFS, and a novel Semantic-Aware Hierarchical Encryption (SAHE) algorithm. SAHE enables multi-level access control based on data sensitivity semantics, ensuring privacy while maintaining usability for medical professionals. The system was implemented in a prototype environment and evaluated through stress testing with up to 200 users, achieving an average CPU usage of 55% and a memory consumption of 80.2 MB. Differential cryptanalysis demonstrated a strong avalanche effect (~50%), with no vulnerabilities found via OWASP ZAP scanning. This architecture offers a promising solution for privacy-preserving, patient-controlled EHR systems, particularly in regions with limited infrastructure.

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Publication Details

Journal
International Journal of Advances in Data and Information Systems
Published
2025-08-30
DOI
https://doi.org/10.59395/ijadis.v6i2.1413
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Decentralized Electronic Health Record Management with Semantic-Aware Hierarchical Encryption

Bagus Jati Santoso, Firdaus Putra Kurniyanto
International Journal of Advances in Data and Information Systems
Cryptography and Data Security
article

Decentralized Electronic Health Record Management with Semantic-Aware Hierarchical Encryption

Bagus Jati Santoso, Firdaus Putra Kurniyanto
article en

Abstract

The rising incidence of cyberattacks targeting electronic health records (EHR) in Indonesia necessitates a robust and context-aware data protection scheme. This paper proposes a decentralised EHR management system that leverages blockchain, IPFS, and a novel Semantic-Aware Hierarchical Encryption (SAHE) algorithm. SAHE enables multi-level access control based on data sensitivity semantics, ensuring privacy while maintaining usability for medical professionals. The system was implemented in a prototype environment and evaluated through stress testing with up to 200 users, achieving an average CPU usage of 55% and a memory consumption of 80.2 MB. Differential cryptanalysis demonstrated a strong avalanche effect (~50%), with no vulnerabilities found via OWASP ZAP scanning. This architecture offers a promising solution for privacy-preserving, patient-controlled EHR systems, particularly in regions with limited infrastructure.

International Journal of Advances in Data and Information SystemsVol. 6(2)
Sepuluh Nopember Institute of Technology (ID)
Openalex Percentile: Top 88%
Cryptography and Data Security
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