MPPM: Malware propagation and prevention model in online SNS

With the pervasiveness of online social network service (SNS), many people express their views and share information with others on them, and the information propagation model of online SNS has attracted considerable interest recently. However, the flourish of information propagation model in online SNS still faces many challenges, especially considering more and more malicious software´s propagation in SNS. In this paper, we proposed a malware propagation and prevention model based on the propagation probability model, called MPPM, for online SNS. With this model, we can describe the relationships among malware propagation, habits of users and malware detection in online SNS. In specific, based on characteristics of online SNS, we define users´ states and the rules of malware propagation with dynamics of infectious disease; then, we introduce the detection factor to affect the propagation of malwares, and present the malwares propagation and prevention in online SNS by dynamic evolution equations; finally, we analyze the factors which influence the malware propagation in online SNS. Detailed analysis and simulation demonstrate that the MPPM model can precisely describe the process of malware´s propagation and prevention in online SNS.