Combating Good Point Set Scanning-Based Self-Learning Worms by Using Predators

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Good point set scanning-based self learning worms can reach a stupendous propagation speed in virtue of the non-uniform vulnerable-host distribution. In order to terminate such self-learning worms, this paper proposes an interaction model. Using the interaction model, the authors obtain the basic reproduction number. The impact of different parameters of predators is studied. Simulations results show that the performance of their proposed model is effective in combating such worms, in terms of decreasing the number of hosts infected by the prey and reducing the prey propagation speed.