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DRDoS Method and System for DRDoS Request Detection based on Suspicious Traffic Adaptive Threshold

机译:基于可疑流量自适应阈值的DRDoS请求检测的DRDoS方法和系统

摘要

The present invention provides a method and system for reducing network congestion and impact of DRDoS attack by detecting DRDoS attack request traffic before DRDoS attack traffic is amplified using an adjustable sampling rate and a detection threshold generated in traffic information of IoT gateway sub network based on SDN for preventing generation of amplified attack traffic of DRDoS in advance. According to an embodiment of the present invention, the method comprises the steps of: collecting traffic of IoT network through IoT gateway; and analyzing the collected traffic to detect a DRDoS attack request. Accordingly, by adjusting a sampling rate and a detection threshold depending on a situation of IoT subnetwork, the method and system may detect DRDoS attack request traffic in a small size to reduce impact of the DRDoS attack amplified in the future and prevent damage to a victim and network congestion from DRDoS amplification attack.
机译:本发明提供了一种方法和系统,该方法和系统通过使用可调整的采样率和基于SDN的IoT网关子网的流量信息中生成的检测阈值来放大DRDoS攻击流量之前,通过检测DRDoS攻击请求流量来减少DRDoS攻击的网络拥塞和影响用于预先防止DRDoS的放大攻击流量的产生。根据本发明的一个实施例,该方法包括以下步骤:通过物联网网关收集物联网网络的流量;分析收集到的流量以检测DRDoS攻击请求。因此,通过根据IoT子网的情况调整采样率和检测阈值,该方法和系统可以以较小的尺寸检测DRDoS攻击请求流量,以减少将来放大的DRDoS攻击的影响并防止对受害者的损害。和DRDoS放大攻击造成的网络拥塞。

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