Cyber Security Strategies for Protecting Health Management Systems

Abstract

The study examines advanced cybersecurity strategies for health management systems focusing on emerging technologies involving blockchain, artificial intelligence, and the security frameworks of Internet of Medical Things. Health management systems are more increasingly exposed to cybersecurity threats; hence, techniques for the protection of sensitive patient data are strengthened. In this present work, an effort has been made to assess how blockchain can be used effectively for storing data securely and thus achieve a very high penetration of reducing unauthorized access attempts at 97%. AI-driven threat detection systems achieved a 94% strength in the detection of health systems threats while traditional systems were at 12%. Adaptive key rotation for device authentication within IoT security framework resulted in a 92% success rate in guarding IoMT network against a data breach. Therefore, the convergence of these three technologies indicates an all-encompassing multilayered approach to security with enhanced resilience and integrity of data. This area needs constant innovation in light of the security issues to keep up with health management systems that maintain privacy and reliability. Sector-specific adaptations will drive further light on these technologies and provide more robust cybersecurity within the health sector.