Cybersecurity in Healthcare: Safeguarding Patient Data in Telemedicine Platforms

Telemedicine systems are exponentially increasing and, therefore, high-quality cybersecurity is inevitable for implementing such systems to secure the private information of the patient from threats that continue to change. In this paper, a new security architecture based on Hybrid Encryption Standard AES-256 and Quantum Key Distribution QKD for telemedicine applications is proposed along with biometric authentication and blockchain technology to ensure integrity of the data. IDS designed in this proposal utilized models based on the Random Forest and SVM approaches for anomaly detection. It obtained an F1 score of 97.1% and an accuracy of 97.3%. The designed framework is particularly suitable for real-time healthcare systems because it offers superior security performance compared to traditional methods while simultaneously reducing latency and increasing precision. The solution ensures the security of data transmission and the control of access while further developing trust in care with patients and matching pace for data protection regulations. It resolves substantial vulnerabilities in telemedicine systems.