A propagation model of passive social network worm

Social network worm incidents of the past years have shown us how vulnerable our networks are and how fast a worm can spread. Compared with traditional network worm, social network worm is more based on Social Engineering technology, which makes the worm more underground and hardly controllable. To be able to defend against social network worms, we need to understand their propagation model. In this paper, we analyze the behavior of social network worm and compare between the existing worm propagation models, introducing Self-Organizing Map algorithm, we formally define and describe analytically a new model, which complies with this scenario.