SECURING IOT BUSINESS MODELS: QUANTITATIVE IDENTIFICATION OF KEY NODES IN ELDERLY HEALTHCARE APPLICATIONS
Keywords:
IoT security, elderly healthcare, key nodes identification, vulnerability assessment, intrusion detection, encryption techniques, access control, system performance.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.
