Abstract:

Wireless sensor network （WSN）is often deployed in open environment,and uses wireless channel for data transmission,so the security in the network is very important.A SIR （susceptible-infected-recovered）model for malware propagation based on 2-Dcellular automata is proposed.Malware propagation in GAF-based clustering WSN is discussed.Analysis and simulation results show that the clustering WSN still process spatial localization,and clustering can reduce the energy consumption of each sensor node at the same time effectively restrain the malware propagation.It also shows that malware propagation will be accelerated in the cluster head selecting period.

Key words: wireless sensor network, GAF, malware propagation, cellular automata