Abstract:
Healthcare systems increasingly use cloud computing technologies to improve operational efficiency and patient care. However, due to the sensitive nature of healthcare da...Show MoreMetadata
Abstract:
Healthcare systems increasingly use cloud computing technologies to improve operational efficiency and patient care. However, due to the sensitive nature of healthcare data and the importance of uninterrupted service, cloud-based healthcare environments require robust security measures and effective load-balancing mechanisms. This paper provides advanced load balancing (ALB) with high-level security (HLS), which offers advanced cloud security and load-balancing techniques for healthcare systems. This abstract focuses on three critical aspects of cloud security: data protection, access control, and threat detection and response. Cutting-edge encryption algorithms and secure transmission protocols protect patient records, medical images, and other sensitive data. Access control mechanisms such as role-based access control and multi-factor authentication are implemented to ensure authorized access to healthcare resources and prevent unauthorized breaches. Load balancing is critical in healthcare systems to ensure high availability and optimal resource utilization. This abstract discusses load-balancing strategies that are designed explicitly for healthcare workloads. Incoming requests are distributed across multiple servers using dynamic load-balancing algorithms, preventing any single node from overloading and ensuring efficient resource utilization. In addition, the abstract emphasizes the incorporation of cloud security and load-balancing mechanisms in healthcare systems. By combining these two factors, healthcare organizations can create a secure and scalable infrastructure that can provide continuous services to patients, healthcare professionals, and other stakeholders. The abstract emphasizes the importance of constant monitoring, proactive maintenance, and regular updates to ensure the effectiveness of security and load-balancing measures in an evolving cloud environment.
Published in: 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
Date of Conference: 18-20 October 2023
Date Added to IEEE Xplore: 06 December 2023
ISBN Information: