Modeling and Simulation of Worm Propagation and Attacks against Campus Network

Rashid Husain, Bishir Suleiman

We develop a model of worm attack against campus network in accordance with the campus signal flow as committed by an external attacker (or intruder) and examine the worm-flow behavior and its rate of infection. Modeling and simulation are two basic integral components employed to test-run the model using Optimized Network Engineering Tool (OPNET) and two forms of statistical events were considered. The object statistics is mainly comprised of our modeled Campus network signal flow plus the attacker and the Global statistics gives an account of the result of the simulation as it shows the number of infected host systems over the network under consideration. We further analyze the result from three perspectives, namely: ‘’As Is, Multiplier and Average.’’ We recommend that the infection rate of worm viruses be investigated from an attacker situated or positioned internal to the network (i.e. an authorized user distributing worm) under consideration.