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A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowds

  • Degang Sun
  • Kun Yang
  • Zhixin Shi
  • Bin Lv
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10412)

Abstract

DDoS and Flash Crowds are always difficult to distinguish. In order to solve this issue, this paper concluded a new feature set to profile the behaviors of legitimate users and Bots, and proposed an idea employed Random Forest to distinguish DDoS and FC on two widely-used datasets. The results show that the proposed idea can achieve distinguishing accuracy more than 95%. With comparison with traditional methods-Entropy, it still has a high accuracy.

Keywords

Flooding DDoS Flash crowds Random Forest User behavior analysis Entropy 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Information EngineeringChinese Academy of SciencesBeijingChina

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