首页> 外文会议>International Conference on Issues and Challenges in Intelligent Computing Techniques >Defending network system against IP spoofing based distributed DoS attacks using DPHCF-RTT packet filtering technique
【24h】

Defending network system against IP spoofing based distributed DoS attacks using DPHCF-RTT packet filtering technique

机译:使用DPHCF-RTT包过滤技术防御网络系统对基于IP欺骗的分布式DOS攻击

获取原文

摘要

IP spoofing based DDoS attack that relies on multiple compromised hosts in the network to attack the victim. In IP spoofing, IP addresses can be forged easily, thus, makes it difficult to filter illegitimate packets from legitimate one out of aggregated traffic. A number of mitigation techniques have been proposed in the literature by various researchers. The conventional Hop Count Filtering or probabilistic Hop Count Filtering based research work indicates the problems related to higher computational time and low detection rate of illegitimate packets. In this paper, DPHCF-RTT technique has been implemented and analysed for variable number of hops. Goal is to improve the limitations of Conventional HCF or Probabilistic HCF techniques by maximizing the detection rate of illegitimate packets and reducing the computation time. It is based on distributed probabilistic HCF using RTT. It has been used in an intermediate system. It has the advantage for resolving the problems of network bandwidth jam and host resources exhaustion. MATLAB 7 has been used for simulations. Mitigation of DDoS attacks have been done through DPHCF-RTT technique. It has been shown a maximum detection rate up to 99% of malicious packets.
机译:基于IP欺骗的DDOS攻击,依赖于网络中的多个受损主机攻击受害者。在IP欺骗中,可以轻松地伪造IP地址,从而难以将非法数据包过滤从聚合流量中的合法。各种研究人员在文献中提出了许多缓解技术。基于常规跳数过滤或概率跳数过滤的研究工作表明了与较高的计算时间和非非法数据包的低检测率有关的问题。在本文中,已经实现了DPHCF-RTT技术,并分析了可变数量的跳跃。目标是通过最大化非法分组的检测速率并减少计算时间来改善传统HCF或概率HCF技术的局限性。它基于使用RTT的分布式概率HCF。它已被用于中间系统。它具有解决网络带宽堵塞和主机资源耗尽问题的优点。 Matlab 7已被用于模拟。通过DPHCF-RTT技术进行了对DDOS攻击的缓解。已显示最大的检测率高达99%的恶意数据包。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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