• OMSHREE V
• Prathibhavani P M

The proliferation of IoT-enabled devices in healthcare systems has revolutionized patient monitoring and data management, providing unprecedented opportunities for efficient healthcare delivery. Despite this, there is a significant worry over security because of the dispersed nature of these devices and the substantial volumes of sensitive data that they generate. This article presents a new approach to healthcare system security that uses edge computing and Software-Defined Networking (SDN) to protect healthcare systems that are enabled by the Internet of Things (IoT). In this era of telemedicine, it is paramount to ensure data integrity, confidentiality, and availability, particularly in healthcare environments where patient privacy and timely access to critical information are non-negotiable. Our framework integrates SDN's centralized network management capabilities with edge computing's data processing at the network's periphery to create a secure, low-latency, and efficient ecosystem for healthcare IoT .Through a comprehensive literature review and practical implementation, this paper demonstrates how our framework addresses critical security concerns, including data encryption, access control, and intrusion detection. Real-world case studies and results highlight the tangible improvements in security and network performance, making it a robust solution for healthcare institutions seeking to harness IoT's benefits while safeguarding patient data . To keep patient data secure, up-to-date, and readily available, this article sets the groundwork for further study and development in the dynamic field of healthcare systems enabled by the internet of things (IoT).

Healthcare systems, security, software-defined network, edge computing, Internet of Things.

""Performance Evaluation of a Secure Software-Defined Networking- rested Edge Computing Framework in NS2 for IoT-Enabled Healthcare Systems assaying ." ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.c654-c663, March-2024, Available :http://www.jetir.org/papers/JETIR2403282.pdf

""Performance Evaluation of a Secure Software-Defined Networking- rested Edge Computing Framework in NS2 for IoT-Enabled Healthcare Systems assaying ." ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppc654-c663, March-2024, Available at : http://www.jetir.org/papers/JETIR2403282.pdf