In this paper, the authors analyzed the methods and techniques used in mathematical modeling of biological epidemics to the domain of information technology. A new epidemic model has been proposed by incorporating a range of parameters rather than using constant parameters for a fixed population network. All individual nodes or computers are classified into four classes-susceptible, exposed, infected and immunized. Changes of population of these four classes with time and higher epidemic threshold are studied. Finally, threshold sensitivity analysis has been analyzed to take into account the appropriate measures to control the virus epidemic.