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A Novel Topology Link-Controlling Approach for Active Defense of Nodes in Networks

机译:网络中节点主动防御的新型拓扑链路控制方法

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摘要

With the rapid development of virtual machine technology and cloud computing, distributed denial of service (DDoS) attacks, or some peak traffic, poses a great threat to the security of the network. In this paper, a novel topology link control technique and mitigation attacks in real-time environments is proposed. Firstly, a non-invasive method of deploying virtual sensors in the nodes is built, which uses the resource manager of each monitored node as a sensor. Secondly, a general topology-controlling approach of resisting the tolerant invasion is proposed. In the proposed approach, a prediction model is constructed by using copula functions for predicting the peak of a resource through another resource. The result of prediction determines whether or not to initiate the active defense. Finally, a minority game with incomplete strategy is employed to suppress attack flows and improve the permeability of the normal flows. The simulation results show that the proposed approach is very effective in protecting nodes.
机译:随着虚拟机技术和云计算的飞速发展,分布式拒绝服务(DDoS)攻击或一些高峰流量对网络的安全性构成了巨大威胁。本文提出了一种新颖的拓扑链接控制技术和实时环境下的缓解攻击。首先,构建了一种在节点中部署虚拟传感器的非侵入性方法,该方法将每个受监视节点的资源管理器用作传感器。其次,提出了一种通用的拓扑控制方法来抵抗入侵。在提出的方法中,通过使用copula函数构造预测模型,以通过另一个资源预测一个资源的峰值。预测结果确定是否发起主动防御。最后,采用不完全策略的少数博弈来抑制攻击流并提高正常流的渗透性。仿真结果表明,该方法在保护节点方面非常有效。

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