进化计算机网络中的变化检测:密度和直径随时间的变化

J. Namayanja, V. Janeja
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引用次数: 4

摘要

对计算机网络的大规模攻击通常会引起网络流量的突变,这使得变化检测成为攻击检测的重要组成部分,特别是在大型通信网络中。这种流量的变化可以定义为突然缺少关键节点或边缘,或者向网络添加新的节点和边缘。这些都是微观层面的变化。另一方面,这可能导致网络宏观层面的变化,例如网络密度和直径的变化,这些变化描述了节点之间的连通性以及网络内的信息流。我们的假设是,网络中这些关键节点的行为变化会转化为网络整体结构的变化,因为这些关键节点代表了网络中主要的通信块。在本研究中,我们专注于检测网络级别的变化,我们对网络进行采样并选择与中心节点相关的关键子图。我们的目标是研究选定的网络级属性,因为它们提供了网络中底层事件的更大图景。
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Change detection in evolving computer networks: Changes in densification and diameter over time
Large-scale attacks on computer networks usually cause abrupt changes in network traffic, which makes change detection an integral part of attack detection especially in large communication networks. Such changes in traffic can be defined in terms of sudden absence of key nodes or edges, or the addition of new nodes and edges to the network. These are micro level changes. This on the other hand may lead to changes at the macro level of the network such as changes in the density and diameter of the network that describe connectivity between nodes as well as flow of information within the network. Our assumption is that, changes in the behavior of such key nodes in a network translates into changes in the overall structure of the network since these key nodes represent the major chunk of communication in the network. In this study, we focus on detecting changes at the network-level where we sample the network and select key subgraphs associated to central nodes. Our objective is to study selected network-level properties because they provide a bigger picture of underlying events in the network.
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