Internet Bad Neighborhoods: the Spam Case

Giovane Moreira Moura, R. Sadre, Aiko Pras

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    11 Citations (Scopus)
    85 Downloads (Pure)


    A significant part of current attacks on the Internet comes from compromised hosts that, usually, take part in botnets. Even though bots themselves can be distributed all over the world, there is evidence that most of the malicious hosts are, in fact, concentrated in small fractions of the IP address space, on certain networks. Based on that, the Bad Neighborhood concept was introduced. The general idea of Bad Neighborhoods is to rate a subnetwork by the number of malicious hosts that have been observed in that subnetwork. Even though Bad Neighborhoods were successfully employed in mail filtering, the very concept was not investigated in further details. Therefore, in this work we provide a closer look on it, by proposing four definitions for spam-based Bad Neighborhoods that take into account the way spammers operate. We apply the definitions to real world data sets and show that they provide valuable insight into the behavior of spammers and the networks hosting them. Among our findings, we show that 10% of the Bad Neighborhoods are responsible for the majority of spam.
    Original languageUndefined
    Title of host publication7th International Conference on Network and Services Management (CNSM 2011)
    EditorsOlivier Festor, Emil Lupu
    Place of PublicationUSA
    PublisherIEEE Communications Society
    Number of pages8
    ISBN (Print)978-1-4577-1588-4
    Publication statusPublished - Oct 2011
    Event7th International Conference on Network and Services Management, CNSM 2011 - Paris, France
    Duration: 24 Oct 201128 Oct 2011

    Publication series

    PublisherIEEE Communications Society


    Conference7th International Conference on Network and Services Management, CNSM 2011
    Other24-28 October 2011


    • METIS-277737
    • EWI-20379
    • EC Grant Agreement nr.: FP7/257513
    • IR-77802

    Cite this