IPV6网络中搜索引擎蠕虫的传播研究

Analysis of web search engine worms in IPv6 networks

针对传统蠕虫传播模型无法准确预测基于搜索引擎的蠕虫的传播问题,在IPv6网络环境下构建了一种基于搜索引擎的蠕虫——V6-MAMWorm,并在分层扫描策略的基础上提出了一种混合智能算法。在本地应用子网内扫描策略,在子网间应用搜索引擎扫描策略,从而建立了一种新型的蠕虫传播模型(multi-tier architecture model,MAM)。仿真结果表明,V6-MAM-Worm在IPv6网络中具有更快的传播速度,其将对IPv6网络的安全性带来巨大的威胁。

Aimed at the problems of spread of the worms based on search engines,a new type of worm,V6-MAMWorm based on search engines is defined in the IPv6 network environment.A hybrid intelligence algorithm based on different layers scanning strategy is de-signed.It means that the worm apply subnet scanning strategy in local subnet and apply scanning strategy based on search engines in inter-subnet.Based on the multi-tier architecture scanning strategy,a multi-tier architecture model（MAM） is presented.The results of simulation experiment which is compared to other well-known worms indicated that V6-MAMWorm is a worm that can propagate fastly in the large-scale in IPv6 network,at the same time a enormous threat posed by the new worm in IPv6 network is predicted.