Research on virus diffusion prevention method for computer singularity in complex sensor networks

Abstract

In current virus propagation defence methods, immunisation failures, as well as combination influence of infectious vector and propagation delay in propagation are not considered. Therefore, propagation of computer singularity virus is hard to control. A new SIS propagation model is proposed based on mean field theory with infectious vector and propagation delay. The influence of computer virus in complex sensor networks on the propagation property is analysed. A new cellular automata model is built to simulate computer virus propagation. With abstraction layer from computer singularity virus detection model based on immunisation principle, a fusion method for singularity virus detection is proposed. Through fusion of different antigen presentation gene library, ability of defence of computer singularity virus propagation is improved. Experimental results show that target immune network connectivity factor ratio of our method is only 0.18, lower than 0.37 multiples of nearest neighbour immunity.