Developing a security enhancement for healthcare applications using blockchain-based firefly-optimized elliptic curve digital signature algorithm

Abstract

Presently the growing digitalization of healthcare systems implies appropriate safety measures that are necessary to protect sensitive patient data and the accuracy of medical records. During this paper, an individual blockchain-based security upgrade plan customized for healthcare applications is proposed. The blockchain is a distributed ledger technology that is secure and distributed. Initially, we gathered the healthcare dataset from standardization was used to create effective data partitioning and for image de-noising and quality improvement, blur-removal is first accomplished in raw samples using standardization. To suggest an encryption scheme that relies on blockchain technology to improve data transmission security, this study demonstrates the fundamentals of contemporary cryptography by introducing a revolutionary technique that enhances the integration of the Firefly optimized Elliptic Curve Digital Signature Algorithm (FOECDSA) with lightweight advanced decryption. FOECDSA improves digital signature efficiency by optimizing elliptic curve parameters using the firefly method. Its use in healthcare systems enhances security and computational efficiency, guaranteeing strong protection of sensitive patient data in blockchain-based environments. In this study, Microsoft’s SQL server is used to manage and store structured data. The simulated results demonstrated that the suggested method’s enhanced identification outcomes, as measured by Encryption Time (22.27), decryption Time (22.76), Execution time (47.35), and Security Level (99) metrics, are compared to the existing methods. The enhanced encryption methodology is assessed and tested using particular standard parameters, and the suggested approach is contrasted with the current procedures.