ISSN: 2249-7196 IJMRR/Sep. 2022/ Volume 12/Issue 3/78-94 Thirusubramanian Ganesan / International Journal of Management Research & Review 78 SECURING IOT BUSINESS MODELS: QUANTITATIVE IDENTIFICATION OF KEY NODES IN ELDERLY HEALTHCARE APPLICATIONS Thirusubramanian Ganesan, Cognizant Technology Solutions, Texas, USA 25thiru25@gmail.com ABSTRACT: This study focuses on securing Internet of Things (IoT) business models in elderly healthcare by quantitatively identifying key nodes crucial for system security and functionality. Objectives: The research aims to enhance IoT security by identifying critical nodes, assessing vulnerabilities, proposing security measures, and evaluating their impact on system performance. Methods: A quantitative approach was employed to identify vital components within IoT systems, followed by a comprehensive vulnerability assessment. Security measures, including intrusion detection systems, encryption techniques, access control methods, and frequent security audits, were proposed and evaluated for their effectiveness. Results: The implementation of all security measures significantly improved node identification accuracy to 95%, risk mitigation efficiency to 85%, and ensured full compliance with regulatory standards. Configurations combining multiple security measures also demonstrated substantial improvements in security while maintaining system performance. Conclusion: The study concludes that integrated security strategies are essential for maintaining robust and compliant IoT systems in elderly healthcare, ensuring both patient data security and system reliability. Keywords: IoT security, elderly healthcare, key nodes identification, vulnerability assessment, intrusion detection, encryption techniques, access control, system performance. 1. INTRODUCTION IoT applications are improving care quality, optimizing resource utilization, and improving patient outcomes in geriatric healthcare. But as IoT is incorporated into healthcare more and more—particularly in the context of senior care—it becomes more and more important to secure IoT business models. This entails safeguarding the infrastructure that makes IoT-based healthcare services possible, with an emphasis on integrity, availability, and confidentiality. The technique of "Securing IoT Business Models: Quantitative Identification of Key Nodes in Elderly Healthcare Applications" describes how to discover essential IoT infrastructure components that are necessary for senior healthcare applications' security and functionality using data-driven methods. Any compromise of these vital nodes—which could include user interfaces, data storage, hardware, or software— could have a substantial effect on the provision of healthcare. The need for senior-specific healthcare services is rising as the world's population ages. Because of this demographic pressure, traditional healthcare systems—which frequently depend on in-person consultations and manual monitoring—are facing challenges. Personalized care, predictive analytics, and remote monitoring are made possible by wearable sensors, smart home systems, and linked medical devices, among other IoT-enabled