An Efficient Hybrid Elliptic Curve Cryptography for Securing E-Healthcare Data in Cloud Environment

After COVID-19, establishing medical and health records, telemedicine, and mobile treatment has shown the potential to strengthen the healthcare system. Cloud computing is a major part of data communication between patients and medical experts. In healthcare, cloud computing stores and manages large volumes of data, such as Electronic Medical Records (EMRs), patient data, and medical images. Healthcare data contains very sensitive data that needs to be protected from hackers. This paper proposes a comprehensive security framework explicitly tailored for e-health systems, strengthened by integrating Advanced Elliptic Curve Cryptography (AECC) techniques, utilizing a hybrid approach combining Weierstrass and Montgomery forms. The framework addresses various security concerns in e-health systems, including data confidentiality, integrity, availability, and privacy. By leveraging a hybrid AECC approach, combining the advantages of both Weierstrass and Montgomery forms, the framework enhances the encryption and decryption processes critical for safeguarding sensitive health information. Key components of the proposed framework include robust access control mechanisms, advanced data encryption strategies, secure data transmission protocols, and resilient authentication mechanisms. By leveraging the strengths of both Weierstrass and Montgomery forms, the framework balances security and computational efficiency, ensuring seamless operation within cloud environments while maintaining robust protection for sensitive healthcare information. The efficiency of the proposed security framework is evaluated through comprehensive simulations and performance analyses, demonstrating its effectiveness in safeguarding e-health data while minimizing computational overhead. The results indicate that the hybrid ECC approach offers a practical and efficient solution for securing e-health systems and enhancing trust and compliance with regulatory requirements in the healthcare domain.