Global stability of dynamic model for worm propagation in wireless sensor network

Abstract

Wireless Sensor is one of the important communication device through which data can be collected and transmitted from any type of terrain. The collection of sensors constitutes a network that is a self-organized autonomous network which is called Wireless Sensor Network (WSN). A number of security challenges are addressed in WSN and one of the security issues is worms or virus attack. To study the attack and analysis of the spread and control of worms, the epidemic mathematical model becomes an important tool. We propose Susceptible (S), Infective (I), Treated (T), Highly infected (H), Recovered (R), SITHR model to describe the nonlinear dynamics of model. In this model, we propose that some infected individuals should move from treated phase to infected phase even after the use of a protection mechanism. The universal dynamics of the transmission of the worms can be analyzed by mathematical model and spreading behavior of a worm in WSN can be determined by the value R0basic reproduction number.