Characterization of blacklists and tainted network traffic

Jing Zhang, Ari Chivukula, Michael Bailey, Manish Karir, Mingyan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationPassive and Active Measurement - 14th International Conference, PAM 2013, Proceedings
Pages218-228
Number of pages11
DOIs
StatePublished - 2013
Externally publishedYes
Event14th International Conference on Passive and Active Measurement, PAM 2013 - Hong Kong, China
Duration: Mar 18 2013Mar 19 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7799 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Passive and Active Measurement, PAM 2013
CountryChina
CityHong Kong
Period3/18/133/19/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Zhang, J., Chivukula, A., Bailey, M., Karir, M., & Liu, M. (2013). Characterization of blacklists and tainted network traffic. In Passive and Active Measurement - 14th International Conference, PAM 2013, Proceedings (pp. 218-228). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7799 LNCS). https://doi.org/10.1007/978-3-642-36516-4-22