Survey on Modeling and Forbidding Cellular Virus Proliferation

Viruses and malwares can unfold from pc networks into mobile networks with the speedy increase of clever cell phone users. In a cellular community, viruses and malwares can reason privacy records leakage, extra charges etc.. Furthermore they are able to jam wireless servers by using sending lots of spam messages or tracking end user positions via GPS. Because of the capability damages of cellular viruses, it's miles essential for us to benefit a deep know-how of the propagation mechanisms of cell viruses. A two-layer network model has proposed for simulating virus propagation through both Bluetooth and SMS. Distinct from previous work, our work addresses the effects of human behaviors, i.e., operational behavior and cellular behavior, on virus proliferation. This simulation outcomes provide in addition insights into the determining elements of virus propagation in mobile networks. Moreover, we observe two techniques for forbidding cell virus propagation, i.e., preimmunization and adaptive dissemination strategies drawing at the technique of autonomy-orientated computing (AOC). The experimental outcomes display that our techniques can correctly guard massive-scale and/or rather dynamic cellular networks.