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Booter Blacklist Generation Based on Content Characteristics

  • Wang Zhang
  • Xu Bai
  • Chanjuan Chen
  • Zhaolin ChenEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 268)

Abstract

Distributed Denial of Service (DDoS) attacks-as-a-service, known as Booter or Stresser, is convenient and low-priced for ordinary people to launch DDoS attacks. It makes DDoS attacks even more rampant. However, until now there is not much research on Booter and little acquaintance with their backend infrastructure, customers, business, etc. In this paper, we present a new method which focuses on the content (text) characteristics on Booters websites and selects more discriminative features between Booter and non-Booter to identify Booters more effectively in the Internet. The experimental results show that the classification accuracy of distinguishing Booter and non-Booter websites is 98.74%. In addition, our method is compared with several representative methods and the results show that the proposed method outperforms the classical methods in 66% of the classification cases on three datasets: Booter websites, 20-Newsgroups and WebKB.

Keywords

Booter service Feature selection Text classification 

Notes

Acknowledgement

This paper is Supported by National Key Research and Development Program of China under Grant No. 2017YFB0803003 and National Science Foundation for Young Scientists of China (Grant No. 61702507).

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Wang Zhang
    • 1
    • 2
  • Xu Bai
    • 1
    • 2
  • Chanjuan Chen
    • 3
  • Zhaolin Chen
    • 4
    Email author
  1. 1.Institute of Information EngineeringChinese Academy of SciencesBeijingChina
  2. 2.School of Cyber SecurityUniversity of Chinese Academy of SciencesBeijingChina
  3. 3.China National Machinery Industry CorporationBeijingChina
  4. 4.Nanjing University of Aeronautics and AstronauticsNanjingChina

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