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Detecting Node Behaviour Changes in Subgraphs

机译:检测子图中的节点行为变化

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Most interactions or relationships among objects or entities can be modelled as graphs. Some classes of entity relationships have their own name due to their popularity; social graphs look at people's relationships, computer networks show how computers (devices) communicate with each other and molecules represent the chemical bonds between atoms. Some graphs can also be dynamic in the sense that, over time, relationships change. Since the entities can, to a certain extent, manage their relationships, we say any changes in relationships reflect a change in entity behaviour. By comparing the relationships of an entity at different points in time, we can say there has been a change in behaviour. In this paper, we attempt to detect malicious devices in a network by showing a significant change in behaviour through analysing traffic data.
机译:对象或实体之间的大多数相互作用或关系可以作为图形建模。 某些类别的实体关系由于他们的受欢迎程度而有自己的名字; 社交图表看人们的关系,计算机网络展示了计算机(设备)如何彼此通信,分子代表原子之间的化学键。 某些图表也可以是动态的,即随着时间的推移,关系改变。 由于实体可以在一定程度地管理他们的关系,我们说,任何关系的变化都反映了实体行为的变化。 通过比较实体在不同点的关系中,我们可以说行为发生了变化。 在本文中,我们试图通过分析交通数据来显示行为的重大变化来检测网络中的恶意设备。

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