计算机科学 ›› 2009, Vol. 36 ›› Issue (9): 67-69.

• 计算机网络与信息安全 • 上一篇    下一篇

随机公平队列对UDP洪流的抑制效果分析

于明   

  1. (大连理工大学电子与信息工程学院 大连 116024)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家“863”计划课题(2005AA123910)资助。

Analysis of Mitigating UDP Flooding by Stochastic Fairness Queueing

YU Ming   

  • Online:2018-11-16 Published:2018-11-16

摘要: 随机公平队列(Stochastic Fairness Queueing, SFQ)是一种典型的公平队列调度算法。UDP洪流是实施DDoS攻击的一种主要攻击手段。研究了SFQ调度和网络中广泛应用的先到先服务(First Comc First Scrvcr, FCFS)队列调度策略对UDP洪流攻击的抑制效果。基于多协议网络模拟平台NS2的仿真结果表明,FCFS调度难以对UDP洪流攻击产生有效的抑制作用,而SFQ调度却能在一定程度上抑制该攻击。

关键词: UDP洪流,队列调度,DDoS, SFQ,攻击抑制

Abstract: Stochastic Fairness Qucucing (SFQ) is a typical mplementation of Fair Qucucing (FQ). UDP flooding is a common way to launch a DDoS attack. In this paper, a comparative study was made between the widely used FCFS (First Come First Served) and SFQ on their efficacy in mitigating UDP flooding. Simulation results based on Network Simulator 2 show that FCFS has little effect on UDP flooding mitigation while SFQ is more effective.

Key words: UDP flooding, Queue scheduling, DDoS, SFQ, Attack mitigation

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