Title: An efficient hash-based assessment and recovery algorithm for distributed healthcare systems

Authors: Ramzi A. Haraty; Mohamad Jaber

Addresses: Department of Computer Science and Mathematics, Lebanese American University, Beirut, 1102-2801, Lebanon ' Department of Computer Science and Mathematics, Lebanese American University, Beirut, 1102-2801, Lebanon

Abstract: Advancements in healthcare information technology have improved data sharing and patient care but also introduced cybersecurity risks. This study proposes a distributed algorithm to assess damage from cyberattacks and accelerate database recovery. The algorithm influences hash tables for efficient identification and retrieval of affected transactions, minimising execution time and resource consumption. A checkpoint mechanism further optimises performance by discarding outdated logs. Comparative analysis demonstrates the algorithm's effectiveness in mitigating attack impact and enhancing healthcare system resilience. By integrating hash tables for rapid data retrieval, this approach offers a robust solution to safeguard critical medical data.

Keywords: damage assessment; database recovery; distributed databases; information warfare; healthcare systems.

DOI: 10.1504/IJCSM.2025.151301

International Journal of Computing Science and Mathematics, 2025 Vol.22 No.4, pp.375 - 392

Accepted: 21 May 2025
Published online: 22 Jan 2026 *

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