Characterization of Blacklists and Tainted Network Traffic

  • Jing Zhang
  • Ari Chivukula
  • Michael Bailey
  • Manish Karir
  • Mingyan Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7799)


Threats to the security and availability of the network have contributed to the use of Real-time Blackhole Lists (RBLs) as an attractive method for implementing dynamic filtering and blocking. While RBLs have received considerable study, little is known about the impact of these lists in practice. In this paper, we use nine different RBLs from three different categories to perform the evaluation of RBL tainted traffic at a large regional Internet Service Provider.


Internet Service Provider Content Delivery Network Malicious Activity Network Address Translation Content Distribution Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Jing Zhang
    • 1
  • Ari Chivukula
    • 1
  • Michael Bailey
    • 1
  • Manish Karir
    • 2
  • Mingyan Liu
    • 1
  1. 1.University of MichiganAnn ArborUSA
  2. 2.Department of Homeland SecurityCyber Security DivisionWashington DCUSA

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