Using signal processing techniques to model worm propagation over wireless sensor networks

An accurate model is necessary to characterize and evaluate propagation of worms over sensor networks. This paper describes a novel and accurate worm propagation model for wireless sensor networks. Referred to as a topologically aware worm propagation model (TWPM), the model simultaneously captures the time and space dynamics of worms spreading over a sensor network. For performance evaluation, the spread of a worm over a sensor network is simulated. The simulated and TWPM-predicted worm propagation dynamics are then compared to evaluate the accuracy of the model. The TWPM very accurately predicted the worm propagation dynamics.