Epidemic Model for Active Infectious Nodes in Computer Sub-Networks

An epidemic model for active infectious nodes in computer sub-networks has been proposed where nodes continuously interact with each other. Nodes become infectious due to the attack of malicious objects (virus, worms, trojan horse etc.) either through internet or through secondary devices. Threshold condition and the doubling time for an epidemic to start have been obtained and it has been found that larger the basic reproductive rate, shorter is the doubling time. Numerical method has been employed to solve the system of equations and the behavior of the proportion for active and non-active nodes of infectious class has been critically analyzed. The simulation results may be helpful in simulating malicious objects epidemics in network.