In this paper, we have a tendency to formulate an analytical model to characterize the spread of malware in decentralized, Gnutella kind peer-to-peer (P2P) networks and study the dynamics associated with the unfold of malware. Using a compartmental model, we derive the system parameters or network conditions below that the P2P network could reach a malware free equilibrium. The model additionally evaluates the effect of management strategies like node quarantine on stifling the unfold of malware. The model is then extended to consider the impact of P2P networks on the malware unfold in networks of smart cell phones.
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