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All Journal Dinamik JURNAL PENGABDIAN KEPADA MASYARAKAT Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Jiko (Jurnal Informatika dan komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) METIK JURNAL Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer Data Sciences Indonesia (DSI) AT-TAKLIM: Jurnal Pendidikan Multidisiplin
Bayu Angga Wijaya
Universitas Prima Indonesia
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Physics Social Sciences Other

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COMPARISON OF ECDSA DAN EDDSA ALGORITHMS IN BLOCKCHAIN-BASED HEALTH RECORDS SECURITY Alexander, Nicholas; Wijaya, Bayu Angga; Dewantoro, Rico Wijaya; Monalisa, Monalisa
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 3 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i3.10709

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.
Co-Authors Adrian Julio Manalu Alexander, Nicholas Alvianus Sembiring Amar Nugraha Bayu Andreas Tarigan Berlian Fransisco Jhon Wau Brutu, Mahendra Christian Mitro Septiano Hutagalung Desniari Gea Dewantoro, Rico Wijaya Dharsinni, N P Fawwaz, Insidini Gea, Areta Delano Halawa, Nestina Hanapi Hasan Harahap, M Hulu, Mesrawati Jimy Okinawa Jovan Kinoto Juandry Juandry Juliansyah Putra Tanjung Juliansyah Putra Tanjung K. Dilpani Laksmi Khairia, Anisa Lase, Yelita Kristiani Lovely Septian Silitonga Monalisa Monalisa Monalisa Muhammad Ridho Muhammad Syahputra Novelan N P Dharshinni Nainggolan, Johannes Kristian Nazara, Leni Wati Nicholas Alexander Perisman Jaya Gea Purba, Risky Pradipa Putri, Tansa Trisna Astono Resel, Resel Rico Wijaya Dewantoro Siboro, Sarwando Sihotang, Dohardo Dulisep Sinaga, Ferdinand Siregar, Afrahul Hidayah Siregar, Saut Dohot Siti Aisyah Sitorus, Andriani M. Tarigan, Angki Angkota Utami, Sekar Suryati Vijay Kumar Yennimar, Yennimar