首页> 外国专利> USING RECURRENT NEURAL NETWORKS TO DEFEAT DNS DENIAL OF SERVICE ATTACKS

USING RECURRENT NEURAL NETWORKS TO DEFEAT DNS DENIAL OF SERVICE ATTACKS

机译:使用递归神经网络击败DNS拒绝服务攻击

摘要

A system for mitigating network attacks is provided. The system includes a protected network including a plurality of devices. The system further includes one or more attack mitigation devices communicatively coupled to the protected network. The attack mitigation devices are configured and operable to employ a recurrent neural network (RNN) to obtain probability information related to a request stream. The request stream may include a plurality of at least one of: HTTP, RTSP and/or DNS messages. The attack mitigation devices are further configured to analyze the obtained probability information to detect one or more atypical requests in the request stream. The attack mitigation services are also configured and operable to perform, in response to detecting one or more atypical requests, mitigation actions on the one or more atypical requests in order to block an attack.
机译:提供了一种用于减轻网络攻击的系统。该系统包括包括多个设备的受保护网络。该系统还包括通信地耦合到受保护网络的一个或多个攻击减轻设备。攻击缓解设备被配置为并且可操作为采用递归神经网络(RNN)获得与请求流有关的概率信息。该请求流可以包括以下中的至少一种:HTTP,RTSP和/或DNS消息。攻击缓解设备还被配置为分析所获得的概率信息以检测请求流中的一个或多个非典型请求。攻击缓解服务还被配置为并且可操作为响应于检测到一个或多个非典型请求而对一个或多个非典型请求执行缓解动作以阻止攻击。

著录项

  • 公开/公告号US2017187747A1

    专利类型

  • 公开/公告日2017-06-29

    原文格式PDF

  • 申请/专利权人 ARBOR NETWORKS INC.;

    申请/专利号US201514981738

  • 发明设计人 LAWRENCE B. HUSTON III;

    申请日2015-12-28

  • 分类号H04L29/06;H04L29/08;G06N3/02;

  • 国家 US

  • 入库时间 2022-08-21 13:48:24

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