Management of Trust Between Patient and IoT Using Fuzzy Logic Theory
L. Rajeshkumar, J. Rachel Priya, Konatham Sumalatha, G. Arunkumar, D. Suganthi, D. Saravanan · 2024
The machine-to-machine revolution was created by the advent of the Internet of Things. Offering innovative services to various sectors. The potential constraints or capabilities of these diverse intelligent devices may give rise to the generation of confidential data and novel concerns pertaining to security, privacy, and technological assurance. In a manner that is spread out. The provision of a scalable decentralized trust management mechanism for the access control system serves to mitigate these issues. Trust-based security models have been found to be more efficacious than cryptography-based security in detecting and preventing a range of insider threats through the analysis of trust scores. The article titled “Scalable Trust Management (STM)” presents a thesis that employs a fuzzy approach and incorporates various factors such as experience and classification device to ascertain the precise value of the trust score. The capability device has taken into account the formulation of the rule. The simulation results obtained from NS2 demonstrate that the use of STM technology can effectively enhance the energy efficiency and scalability of heterogeneous networks.