Re-wiring activity of malicious networks

Maria Konte, Nick Feamster

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

3 Scopus citations


This paper studies the AS-level re-wiring dynamics (changes in the connectivity) of malicious networks. Anecdotal evidence suggests that some malicious ASes that are primarily involved in nefarious activities on the Internet, were sequentially de-peered by providers before their final cut-off (as occurred in the well-publicized cases of Atrivo/Intercage). We present the first systematic study of the re-wiring dynamics of malicious ASes. We tracked the ASes that were listed by Hostexploit over the last two years and compared their AS-level re-wiring dynamics with non-reported ASes. Using a publicly available dataset of Customer-Provider (CP) relations in the Internet's AS graph, we studied how interconnection between autonomous systems evolves, both for ASes that provide connectivity for attackers and ASes that were not reported as malicious. We find that malicious networks are more aggressive both in forming links with providers and changing their upstream connectivity than other ASes. Our results indicate that the re-wiring dynamics of the networks that host attacks are stable over time, despite the evolving nature of the attacks themselves, which suggests that existing defense mechanisms could benefit from incorporating these features.

Original languageEnglish (US)
Title of host publicationPassive and Active Measurement - 13th International Conference, PAM 2012, Proceedings
Number of pages10
StatePublished - 2012
Event13th International Conference on Passive and Active Measurement, PAM 2012 - Vienna, Austria
Duration: Mar 12 2012Mar 14 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7192 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other13th International Conference on Passive and Active Measurement, PAM 2012

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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