Botnet Dynamics and Measures for India

The observations of Indian Computer Emergency Response Team (CERT) shows that botnet infected systems in India was 25,915 in 2007 which increased to about 6.5 million in 2012. The infected system grew very rapidly and reached over 60 per cent in first half of 2013. Since then, there have been many outbreaks, with the greatest being the current 2019 outbreak. This paper presents the use of calculus to model botnet epidemics. Our model is based on an S → I → R (susceptible, infected, recovered) scheme. The aim of this research is to model the transmission dynamics of botnet to predict the outbreak of malicious code. This research is very significant to the current situation in India for understanding the rate of transmission of epidemic. We have compared the data collected from the SIR model with the observed data of the infectious nodes. The simulation uses the fourth-order Runge-Kutta algorithm and implemented in Python 3. The results of the present analysis are supportive in controlling the infection and serves as a foundation for planning, design, and defense of a computer network.