Malware Propagation Model Based on Dynamic Incentive Mechanism of Mobile Crowdsourcing Network
Based on the inherent characteristics of mobile crowdsourcing networks(MCN),dynamic incentives are introduced to promote the activity analysis of mobile users(MU)in the network.The dynamic behavior of malicious code propagation in MCN is studied,and a new mali-cious code propagation model SIR-M is proposed,where M nodes represent crowdsourcing nodes that handle node tasks.Firstly,considering the initiative of the newly infected node,the infected node can seek MU isolation and immune enhancement for this node through the crowd-sourcing mechanism of MCN.Then,the effectiveness of the model was verified through stability analysis and numerical simulation,and com-pared with the SIR model to analyze the impact of crowdsourcing mechanism on the system.The results indicate that the crowdsourcing mecha-nism of mobile crowdsourcing networks significantly slows down the propagation speed of malicious code and reduces the risk of large-scale proliferation of malicious code in the network.
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