Mitigating Iot Attacks In Smart Medical Networks Using Enhanced Dirichlet Based Algorithm For Trust Management System

The innumerable application domains of Internet of Things (IoT) make security a big concern for the protection of devices and shared data from unauthorized access. The existing Internet Security protocols cannot be conformed for IoT entities due to their heterogeneity and resource constrained nature. Thus, there is a requirement of trust management systems as trust grants an IoT entity the ability to differentiate and govern the information disclosure in the network which ensures privacy and security. This paper proposes an Enhanced Dirichlet Trust Management Algorithm for healthcare domain which ensures reliable trust evaluation by considering direct observations and recommendations. The functional properties of the nodes form a key part of the algorithm. The existing Dirichlet algorithm has been enhanced by introducing Neighbour Node detection mechanism which helps to grant initial estimates of trust values to the nodes in the network. The proposed algorithm has been tested against various IoT attacks and the system performance has been summarized in the paper.