COMPARISON OF ECDSA DAN EDDSA ALGORITHMS IN BLOCKCHAIN-BASED HEALTH RECORDS SECURITY

Nicholas Alexander, Bayu Angga Wijaya, Rico Wijaya Dewantoro, Monalisa Monalisa

Abstract


The development of blockchain technology presents significant opportunities for the management of Electronic Health Records (EHR), owing to its decentralized, transparent, and tamper-resistant characteristics. However, security challenges remain, particularly regarding the use of the Elliptic Curve Digital Signature Algorithm (ECDSA), which, despite being compact and secure, has limitations in efficiency and potential vulnerabilities related to random nonce usage. This study aims to compare the effectiveness, efficiency, and security of ECDSA with the Edwards-curve Digital Signature Algorithm (EdDSA) in safeguarding the integrity and confidentiality of blockchain-based EHR systems. The research methodology involved simulations and evaluations of digital signature algorithms using an EHR dataset from Kaggle, focusing on performance testing, data validation, and the implementation of the Proof-of-Work (PoW) consensus mechanism. The results indicate that EdDSA outperforms ECDSA in terms of both speed and security. EdDSA achieved a signing time of 0.000180 seconds and a verification time of 0.000200 seconds, compared to ECDSA's 0.000962 seconds and 0.003204 seconds, respectively. While both algorithms successfully validated the data, neither was able to detect data alterations. From a blockchain perspective, PoW demonstrated high computational resistance, as evidenced by increased mining times—from 1,504 seconds for 4,000 blocks (difficulty target = 5) to 7,702 seconds for 20,000 blocks (difficulty target = 5)—thereby enhancing system integrity. Overall, EdDSA is considered more suitable for modern blockchain-based EHR implementations, although further research is needed to develop mechanisms for detecting data alteration.

References


V. Mandarino, G. Pappalardo, and E. Tramontana, “A Blockchain-Based Electronic Health Record (EHR) System for Edge Computing Enhancing Security and Cost Efficiency,” Computers, vol. 13, no. 6, pp. 1–26, 2024, doi: 10.3390/computers13060132.

Andi, C. Juliandy, R. Robet, O. Pribadi, and R. Wijaya, “Image Authentication Application with Blockchain to Prevent and Detect Image Plagiarism,” 2021 6th Int. Conf. Informatics Comput. ICIC 2021, no. December, 2021, doi: 10.1109/ICIC54025.2021.9632966.

A. Ali et al., “Security, privacy, and reliability in digital healthcare systems using blockchain,” Electron., vol. 10, no. 16, pp. 1–27, 2021, doi: 10.3390/electronics10162034.

N. U. A. Tahir et al., “Blockchain-Based Healthcare Records Management Framework: Enhancing Security, Privacy, and Interoperability,” Technologies, vol. 12, no. 9, pp. 1–19, 2024, [Online]. Available: https://doi.org/10.3390/technologies12090168.

M. A. Al-Khasawneh, M. Faheem, A. A. Alarood, S. Habibullah, and A. Alzahrani, “A secure blockchain framework for healthcare records management systems,” Healthc. Technol. Lett., vol. 11, no. 6, pp. 461–470, 2024, doi: 10.1049/htl2.12092.

I. Lygerou, S. Srinivasa, E. Vasilomanolakis, G. Stergiopoulos, and D. Gritzalis, “Correction to: A decentralized honeypot for IoT Protocols based on Android devices,” Int. J. Inf. Secur., vol. 22, no. 1, p. 303, 2023, doi: 10.1007/s10207-022-00628-0.

Andi, C. Juliandy, Robet, and O. Pribadi, “Securing Medical Records of COVID-19 Patients Using Elliptic Curve Digital Signature Algorithm (ECDSA) in Blockchain,” CommIT J., vol. 16, no. 1, pp. 87–96, 2022, doi: 10.21512/COMMIT.V16I1.7958.

A. Nadzifarin and A. Asmunin, “Penerapan Elliptic Curve Digital Signature Algorithm pada Tanda Tangan Digital dengan Studi Kasus Dokumen Surat – Menyurat,” J. Informatics Comput. Sci., vol. 4, no. 01, pp. 1–9, 2022, doi: 10.26740/jinacs.v4n01.p1-9.

H. A. F. Kurniawan, S. N. Neyman, and S. H. Wijaya, “Pengembangan Algoritma Ecdsa Dengan Modifikasi Perkalian Skalar Menggunakan Double Base Chain,” J. Teknol. Inf. dan Ilmu Komput., vol. 11, no. 2, pp. 275–284, 2024, doi: 10.25126/jtiik.20241127446.

M. Elsheikh, İ. K. Paksoy, and M. Cenk, “Accelerating EdDSA Signature Verification with Faster Scalar Size Halving,” IACR Trans. Cryptogr. Hardw. Embed. Syst., vol. 2025, no. 3, pp. 493–515, 2025, doi: 10.46586/tches.v2025.i3.493-515.

G. J and S. Koppu, “An Empirical Study to Demonstrate that EdDSA can be used as a Performance Improvement Alternative to ECDSA in Blockchain and IoT,” Inform., vol. 46, no. 2, pp. 277–290, 2022, doi: 10.31449/inf.v46i2.3807.

H. Ghodang and Hantono, Metode Penelitian Kuantitatif Konsep Dasar & Aplikasi Analisis Regresi Dengan Jalur SPSS. Medan: PT. Penerbit Mitra Grup, 2020.

B. H. Purnomo, D. A. Rismayadi, M. R. F. Thoriq, U. Pamulang, and U. T. Bandung, “Adopsi Blockchain sebagai Solusi Keamanan dan Transparansi Transaksi Digital di Industri Fintech,” J. Minfo Polgan, vol. 13, no. 2, pp. 2486–2492, 2025.

F. N. Nuraini, “Peran Teknologi Blockchain Dalam Meningkatkan Transparansi Akuntansi,” Profit J. Manajemen, Bisnis dan Akunt., vol. 4, no. 2, pp. 303–312, 2024, [Online]. Available: https://coursework.uma.ac.id/index.php/ekonomi/article/view/458.

R. P. Purba, B. A. Wijaya, L. W. Nazara, and S. S. Utami, “Desain Protokol Keamanan Data Berbasis Blockchain pada Pengolahan Data Pengguna Aplikasi E-commerce,” Metrik, vol. 9, no. 2, pp. 256–263, 2025, doi: 10.47002/metik.v9i2.1104.

J. Huang, Y. W. Qi, M. R. Asghar, A. Meads, and Y. C. Tu, “MedBloc: A blockchain-based secure EHR system for sharing and accessing medical data,” Proc. - 2019 18th IEEE Int. Conf. Trust. Secur. Priv. Comput. Commun. IEEE Int. Conf. Big Data Sci. Eng. Trust. 2019, pp. 594–601, 2019, doi: 10.1109/TrustCom/BigDataSE.2019.00085.

Andi, R. Purba, and R. Yunis, “Application of Blockchain Technology to Prevent The Potential Of Plagiarism in Scientific Publication,” 2019, doi: 10.1109/ICIC47613.2019.8985920.

J. Vinothkumar and K. Venkatachalapathy, “Protection of Medical Records Using Block Chain Technology,” vol. 9, no. 4, 2021.

S. Lyu, “Advances in Digital Signature Algorithms: Performance, Security and Future Prospects,” in ITM Web of Conferences (IWADI), 2024, vol. 73, pp. 1–7.

S. A. Mendrofa, M. W. Ardyani, S. S. Carita, and Sepha Siswantyo, “Unlocking the Future of Digital Currency: A Comparative Study of ECDSA vs. EdDSA Signatures with Oblivious Transfer Protocol,” 2024.




DOI: https://doi.org/10.33387/jiko.v8i3.10709

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