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The Closer the Better: A Filtering Model for Malicious Traffic in SDN Network Domain

机译:越近越好:SDN网络域中恶意流量的过滤模型

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Today, Internet is facing with growing threats of malicious traffic generated by virus, DDoS attack, selfish action and so on, and it will become worse while these traffics are caused by internal members of autonomous domains. Filtering these traffics on the nodes as closer as possible to the attack source is considered as a reasonable solution. So this paper presents a malicious traffic filtering model for AS based on SDN network domain. This model sets a logical centralized controller for the AS, deploys agents to the network nodes. These agents are responsible for collecting the information of network and executing filtering policies. The controller supports functions of internal malicious traffic detection, dynamic filtering policies decision, and policies deployment. Furthermore, this model also includes a proper executing nodes searching algorithm, which ensures the policies to be deployed on nodes closest to the internal attack source and cannot be bypassed. The experiments verify that comparing with traditional malicious reaction mechanism such as filter the traffic at host-end or edge-router of domain, this model is able to protect all nodes and servers within the domain. And it also provides the domain powerful and flexible capability to deal with rapidly changing attack methods at lower cost and to significantly reduce the malicious traffic within the domain network.
机译:如今,Internet面临着越来越多的由病毒,DDoS攻击,自私行为等产生的恶意流量的威胁,而当这些流量由自治域的内部成员引起时,情况将变得更糟。将这些流量在节点上过滤得尽可能靠近攻击源被认为是合理的解决方案。因此,本文提出了一种基于SDN网络域的AS恶意流量过滤模型。该模型为AS设置逻辑集中控制器,将代理部署到网络节点。这些代理负责收集网络信息并执行过滤策略。控制器支持内部恶意流量检测,动态过滤策略决策和策略部署等功能。此外,该模型还包括适当的执行节点搜索算法,该算法可确保将策略部署在最接近内部攻击源的节点上并且不会被绕开。实验证明,与传统的恶意响应机制(如过滤域的主机端或边缘路由器的流量)相比,该模型能够保护域内的所有节点和服务器。而且,它还为域提供强大而灵活的功能,以较低的成本应对迅速变化的攻击方法,并显着减少域网络内的恶意流量。

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