首页> 外国专利> SOFTWARE-DEFINED NETWORK DDOS ATTACK SIMULATION AND ATTACK DETECTION METHOD AND APPARATUS

SOFTWARE-DEFINED NETWORK DDOS ATTACK SIMULATION AND ATTACK DETECTION METHOD AND APPARATUS

机译:软件定义的网络ddos攻击模拟与攻击检测方法及装置

摘要

The present invention is used in the technical field of network security. Provided are a software-defined network DDoS attack simulation and attack detection method, and an apparatus, the method comprising: adding zombie computers in a linearly increasing incremental fashion, and initiating a data plane concealed DDoS attack on a pre-determined target switch in a software-defined network by means of said zombie computers; by means of updating a flow table on all switches in a software-defined network, synchronizing and updating a pre-constructed attack flow monitoring table on a controller of the software-defined network; periodically checking the attack flow monitoring table, so as to determine whether there is in the attack flow monitoring table a monitoring table item having a duration exceeding a pre-determined duration; when there is such an item, determining that a network flow corresponding to the monitoring table item is a concealed attack flow directed at the data plane of the software-defined network, thereby effectively increasing efficiency of modeling a concealed DDoS attack on a software-defined network data plane, and effectively increasing efficiency of detecting concealed DDoS attacks on the software-defined network data plane.
机译:本发明用于网络安全技术领域。提供了一种软件定义的网络DDoS攻击模拟和攻击检测方法,以及一种装置,该方法包括:以线性递增的方式添加僵尸计算机,并在网络中的预定目标交换机上发起数据平面隐藏的DDoS攻击。通过所述僵尸计算机的软件定义的网络;通过更新软件定义网络中所有交换机上的流表,同步更新软件定义网络中控制器上的预先构造的攻击流监控表;定期检查攻击流监控表,以确定攻击流监控表中是否存在持续时间超过预定时长的监控表项;当存在这样的项目时,确定与监视表项目相对应的网络流是针对软件定义网络的数据平面的隐藏攻击流,从而有效地提高了在软件定义网络上对隐藏DDoS攻击建模的效率网络数据平面,并有效提高在软件定义的网络数据平面上检测隐藏的DDoS攻击的效率。

著录项

  • 公开/公告号WO2018201581A1

    专利类型

  • 公开/公告日2018-11-08

    原文格式PDF

  • 申请/专利权人 SHENZHEN UNIVERSITY;

    申请/专利号WO2017CN88934

  • 发明设计人 YAN QIAO;GONG QINGXIANG;CHEN JIANYONG;

    申请日2017-06-19

  • 分类号H04L29/06;

  • 国家 WO

  • 入库时间 2022-08-21 12:42:05

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号