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蠕虫给Internet带来巨大威胁,给作为Internet覆盖网的P2P网络带来的威胁更大,这主要是由P2P网络本身的特点决定的(就是这些特点为用户带来巨大方便).考虑到威胁P2P网络的3种蠕虫中沉默型蠕虫传播模型还没有被提出(其他2种分别为被动型蠕虫和主动型蠕虫)和沉默型蠕虫的巨大危害性,提出了沉默型蠕虫的传播模型和免疫模型,并基于该模型推导出了沉默型蠕虫不会流行的条件.为了考查各个P2P参数对蠕虫传播的影响和从实践上验证推导出的蠕虫不会流行的条件,使用Matlab进行了大量仿真实验.实验表明,理论推导出的蠕虫不会流行的条件是正确的;实验还进一步表明,蠕虫的流行程度是由流行指数来决定的,这为提出蠕虫控制策略提供了依据.通过对决定流行指数的几个参数的分析表明,在发现蠕虫时迅速降低下载率是补丁发布前控制蠕虫最有效的办法.
Worms pose a tremendous threat to the Internet and pose a greater threat to P2P networks that serve as Internet overlays, which are largely determined by the characteristics of the P2P network (these are great features for users.) Considering the threat of P2P The three types of worms in the network, the silent worm propagation model has not been proposed (the other two were passive worms and active worms, respectively) and the great harm of silent worms, proposed the propagation model and immune model of silent worms, And based on this model, we can deduce that the silent worm will not prevail.In order to examine the influence of each P2P parameter on the worm propagation and to verify that the worm is not popular in practice, a large number of simulation experiments are carried out using Matlab It shows that the condition that the theory deduces that the worm will not prevail is correct, and the experiment further shows that the prevalence of the worm is determined by the epidemic index, which provides the basis for the proposed worm control strategy. An analysis of the parameters shows that rapidly reducing the download rate when a worm is found is the most effective way to control the worm before the patch is released.