Preventing Malware Proliferation in Large Scale Network Topology

Malware is pernicious software in networks and spreading widely throughout in network area and cause a critical threat to network security. Till date we are not aware of malware behavior in networks. In this paper, we will find how malware propagates in networks and build a two layer epidemic model for malware propagation. In proposed model our analysis says that distribution of a given malware follows exponential distribution and power law distribution with a short exponential tail and power law distribution at its early, late and final stages and experiments also done by taking two real world malware data sets and results confirm our theoretical values.