ODL-ANTIFLOOD: A Comprehensive Solution For Securing OpenDayLight Controller

N. Tran, T. Le, M. Tran
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引用次数: 4

Abstract

Software-Defined Networking (SDN) has emerged as a novel network architecture for facilitating and simplifying network control and management. The main fundamental of SDN is the separation of the control and data planes that allows to rapidly, simply manage and configure network operations. However, because of the logically centralized control plane, SDN brings many security challenges, especially to be the victim of Controller-aimed Distributed Denial of Service (DDoS) attacks. In this paper, we proposed a solution to detect and mitigate this dangerous threat to protect SDN controllers. Our proposal consists of two components including a network application for supporting in decision making and a network function for enforcing the detection and mitigation tasks. We also contribute a multi-layer attack detection mechanism and a three-phase mitigation approach to treat with the attacks. Our methodology is implemented on OpenDayLight controller and evaluated using a high-speed test-bed network. The results show that our solution is able to detect attacks after 40 milliseconds on average, and the accuracy of detection process is around 95%. Moreover, it also can effectively, efficiently mitigate attacks to reduce CPU Utilization from high (approx. 90%) to remain average (approx. 20%).
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ODL-ANTIFLOOD:保护OpenDayLight控制器的全面解决方案
软件定义网络(SDN)作为一种新的网络架构,为方便和简化网络控制和管理而应运而生。SDN的主要基础是控制平面和数据平面的分离,允许快速,简单地管理和配置网络操作。然而,由于SDN的控制平面在逻辑上是集中的,因此也带来了许多安全挑战,特别是容易受到针对控制器的分布式拒绝服务攻击。在本文中,我们提出了一种检测和减轻这种危险威胁的解决方案,以保护SDN控制器。我们的建议由两个部分组成,包括一个支持决策的网络应用程序和一个执行检测和缓解任务的网络功能。我们还提供了多层攻击检测机制和三阶段缓解方法来处理攻击。我们的方法在OpenDayLight控制器上实现,并使用高速测试台网络进行评估。结果表明,我们的方案平均在40毫秒后就能检测到攻击,检测过程的准确率在95%左右。此外,它还可以有效、高效地缓解攻击,以降低CPU利用率。90%)保持平均水平(约。20%)。
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