物联网恶意代码传播模型研究(英文)

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Nowadays,the main communication object of Internet is human-human.But it is foreseeable that in the near future any object will have a unique identification and can be addressed and connected.The Internet will expand to the Internet of Things.IPv6 is the cornerstone of the Internet of Things.In this paper,we investigate a fast active worm,referred to as topological worm,which can propagate twice to more than three times faster than a traditional scan-based worm.Topological worm spreads over AS-level network topology,making traditional epidemic models invalid for modeling the propagation of it.For this reason,we study topological worm propagation relying on simulations.First,we propose a new complex weighted network model,which represents the real IPv6 AS-level network topology.And then,a new worm propagation model based on the weighted network model is constructed,which describes the topological worm propagation over AS-level network topology.The simulation results verify the topological worm model and demonstrate the effect of parameters on the propagation. Nowadays, the main communication object of Internet is human-human.But it is foreseeable that in the near future any object will have a unique identification and can be addressed and connected.The Internet will expand to the Internet of Things. IPv6 is the cornerstone of the Internet of Things. This paper, we investigate a fast active worm, referred to as topological worm, which can propagate twice to more than three times faster than a traditional scan-based worm. Topological worm spreads over AS-level network topology , making traditional epidemic models invalid for modeling the propagation of it.For this reason, we study topological worm propagation relying on simulations. First, we propose a new complex weighted network model, which represents the real IPv6 AS-level network topology. And then , a new worm propagation model based on the weighted network model is constructed, which describes the topological worm propagation over AS-level network topology. The simulation results verify the topologic al worm model and demonstrate the effect of parameters on the propagation.
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