【摘要】 在基础设施网络(如电力网、互联网等)设施中,往往会出现关键节点,主要表现为节点流量大、在网络中位置关键等,其性能不稳定将制约网络部分区域的功能。因此从提高关键基础设施的性能和安全性的角度出发,针对关键基础设施的检测成为一个重要的研究课题。提出了一种新颖的基于分布相似度迁移的互联网关键路由设备的检测算法,其目的是自动地检测当前互联网线路中的关键路由设备。在真实环境中,不同线路中不同路由设备的行为特征由于若干客观因素(网络状态、路由设备性能等)导致其分布通常不相同。因此,所提方法主要基于路由之间的分布相似度迁移:首先在目标域(当前路由)中通过谱聚类方法自动判断出可疑的路由设备,然后通过提出的基于分布相似度迁移的分类器对上一步中检测出的可疑路由设备进行分类。在华为公司提供的真实数据集上进行的测试表明,所提方法能够有效发现线路中的关键路由设备,同时能够根据不同线路之间的分布相似度迁移来提高分类结果。更多还原

【Abstract】 Critical infrastructures,which usually have large flow and key position,are common in infrastructure networks(e.g.power transmission network,Internet).The performance and reliability of the critical infrastructures directly influence the local abilities of the whole networks.To improve the ability and security-level of infrastructure networks,we proposed a novel method for critical infrastructures detection,which is mainly based on distribution similarity transfer.The aim of the proposed method is to automatically detect the critical routers in the current route.In the real application,due to several factors(e.g.network status,performance of routers),the behaviors of different routers within different routes often belong to different distributions.Therefore,the proposed method models the problem as the distribution similarity transfer among different routes:First,the suspected routers are detected in the target domain(current route)by using spectral clustering;then,a newly proposed distribution similarity transfer classifier finally classifies the suspected routers obtained from the previous step.The proposed method was evaluated on the real dataset provided by Huawei Inst.The experimental results validate the proposed method can effectively detect the critical infrastructures.Meanwhile,it is demonstrated that the proposed method can successfully adopt the distribution similarity transfer to improve the classification results.更多还原