Privacy-preserving cryptographic solutions for medical image protection : The secure force algorithm and intelligent encryption systems

Abstract

Privacy-preserving must comply with regulatory requirements, safeguard patient privacy, secure data integrity, enable evolving technologies, and guarantee moral and reliable healthcare practices for healthcare applications. By adopting these measures, the healthcare industry may effectively harness the advantages offered by contemporary technology while simultaneously ensuring the protection of patient confidentiality. In this paper, a Secure Force (SF) Encryption Algorithm is modified and improved to guarantee data confidentiality, integrity, and privacy for healthcare applications. Furthermore, SF is also integrated into Intelligent Encryption Systems to augment the protection and confidentiality of confidential patient information. A thorough examination of the algorithm’s efficacy is performed using MATLAB regarding computational efficiency, security, and influence on data entropy. Results demonstrate the algorithm’s ability to preserve patient anonymity, protect sensitive data, and augment data security. Addressing these vital aspects, the research contributes to the ongoing effort to secure medical data in a rapidly evolving healthcare landscape.