Abstract

Along with the rapid development of social networks,social network worms have constituted one of the major internet security problems.In the paper,the social network worm propagation is discussed from the viewpoint of social engineering,and a human behavior model based on game theory is presented for predicting the expected actions of network user encountered with worm messages.By analyzing network users' diurnal activity behaviors,a discrete social network accessing model is proposed to characterize the general human habit of accessing certain social network.Then a simulation system is constructed with the two models and validated by simulations on the effect of human factors on propagations.Finally,the results of simulation experiments on artificial social networks show the impacts of network topology and number of hybrid nodes on social network worm propagation and indicate that this simulation system can provide great support for social network worm related researches.

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