Modeling and Analysis of the Proactive Worm in Unstructured Peer-to-Peer Network
Qindong Sun, Qian Wang, Jie Ren - · Journal of Convergence Information Technology · 2010
With the popularity of P2P (Peer-to-Peer) network applications, active P2P worms become one of the most important newly threat of the network security. In this paper, the propagation process of active P2P worms are studied by a dynamic model over the overlay topology which modeled as a power-law undirected graph. Firstly, GLP power law generator is used to generate power law topologies to represent unstructured P2P networks. Then the propagation of P2P worms is modeled over the topology. Specifically, discrete-time is adopted to conduct recursion and approximation to describe propagation of proactive P2P worm. In our model, all the probabilities which would happen to all kinds of peers are considered in full. Therefore, both the whole network’s status and the single node’s action are taken into consideration. So the model we constructed is more likely the truth. Finally, the simulation studies are carried out to prove that the simulation results match the mathematical model well.