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Defending DDoS against Software Defined Networks using Entropy

机译:使用熵保护DDOS对软件定义的网络

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Software defined networking (SDN) has gained the attention of many researchers and networking data centers. SDN provides flexibility and programmability to the network which makes it easy to adapt the changes. As SDN controller has a centralized visibility to the complete network topology, it may be targeted by the attackers. By breaking the integration of forwarding and routing rules in a single device, it offers cost-efficient networking services. However, SDN may suffer from various types of Distributed denial of service (DDoS) attacks. DDoS can disturb the complete network functionality by consuming resources and processing power of controller. Some researchers have designed many efficient defense mechanisms recently. In this research work, entropy which is used to compute the randomness of any event is utilized to detect the DDoS attacks. The attack detection module is implemented in POX controller which monitors the statistics of all the incoming flows. The suggested entropy based detection offers to identify the attack in a short duration and gives a fast response.
机译:软件定义的网络(SDN)已赢得了许多研究人员和网络数据中心的注意。 SDN为网络提供了灵活性和可编程性,这使得可以轻松调整变化。由于SDN控制器具有对完整网络拓扑的集中性可见性,因此它可能由攻击者定位。通过打破单个设备中的转发和路由规则的集成,它提供了具有成本高效的网络服务。然而,SDN可能遭受各种类型的分布式拒绝服务(DDOS)攻击。 DDOS可以通过消耗资源和控制器的处理能力来打扰完整的网络功能。一些研究人员最近设计了许多高效的防御机制。在本研究工作中,用于计算任何事件随机性的熵用于检测DDOS攻击。攻击检测模块在POX控制器中实现,监控所有传入流的统计信息。建议的基于熵的检测优惠以在短时间内识别攻击并提供快速响应。

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