A Dynamic Security Framework for Resilient Healthcare Data Management in Cloud Environments

DR.B. Purushotham1, Rokkam Som Sampreeth2, Suragani Vinay Kumar 3, Konduru Neha4,Velure Kranthi5 , Guluru Akhila6
1Head of the Department, Dept of Information Technology, SV College of Engineering, Tirupathi, India.
2 B.Tech , Dept of Information Technology, SV College of Engineering, Tirupathi, India.
3B.Tech , Dept of Information Technology, SV College of Engineering, Tirupathi, India.
4B.Tech , Dept of Information Technology, SV College of Engineering, Tirupathi, India.
5B.Tech , Dept of Information Technology, SV College of Engineering, Tirupathi, India.
6B.Tech , Dept of Information Technology, SV College of Engineering, Tirupathi, India.
Email:1purushothamb@svce.edu.in,3suraganivinaykumar3@gmail.com ,5kranthiroyal911@gmail.com2somsampreeth33@gmail.com,
4nehakonduru1012@gmail.com ,,62022it.r80@svce.edu.in
Corresponding Author/Guide : Dr. B. Purushotham, Head of the Department

Abstract:The prevalence of cloud computing in healthcare enables efficient storage, sharing, and management of sensitive patient data, but it also introduces significant security and privacy challenges. The current landscape relies on conventional encryption mechanisms and periodic security incident analysis to safeguard medical records in cloud environments. While these strategies help mitigate unauthorized access, they often lack scalability, advanced threat protection, and robustness against emerging vulnerabilities unique to distributed healthcare systems. Addressing these limitations, this paper proposes an integrated security framework that leverages advanced encryption techniques, real-time anomaly detection, and continuous system monitoring. By adopting dynamic and adaptive technologies, the system can not only defend against sophisticated cyber threats but also ensure regulatory compliance and availability for critical healthcare services. The enhanced framework increases resilience, reduces the risk of data breaches, and augments system performance, positioning healthcare organizations to better protect patient information in evolving cloud environments. This approach reflects a proactive transition from basic defensive mechanisms to a comprehensive, future-ready security model tailored to the needs of modern healthcare data management.
Keywords: encryption mechanisms, cyber threats, healthcare systems, anomaly detection