Motivated by “War of the worms”, we propose a worm interaction approach that relies upon automated beneficial worm generation to alleviate problems of worm propagations in such networks. We also propose a new set of metrics to quantify effectiveness of one worm terminating other worm. To understand the dynamics of worm interactions and their performance, we mathematically model worm interactions based on major worm interaction factors including worm interaction types, network characteristics, and node characteristics using ordinary differential equations and analyze their effects on our proposed metrics. Our study provides the first work to characterize and investigate worm interactions of random-scan worms in multi-hop networks.For encounter-based worm, we validate our proposed model using extensive synthetic and trace-driven simulations.We find that, all worm interaction factors significantly affect the pattern of worm propagations. For example, immunization linearly decreases the infection of susceptible nodes while on-off behavior only impacts the duration of infection.

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