Team for Research in
Ubiquitous Secure Technology

Metrics for Measuring ISP Badness: The Case of Spam
Benjamin Johnson, John Chuang, Jens Grossklags, Nicolas Christin

Citation
Benjamin Johnson, John Chuang, Jens Grossklags, Nicolas Christin. "Metrics for Measuring ISP Badness: The Case of Spam". To appear in Proceedings of the 16th International Conference on Financial Cryptography and Data Security (FC'12, International Financial Cryptography Association, 12, February, 2012.

Abstract
We consider the problem of ISP targeting for spam prevention through disconnection. Any such endeavor has to rely on adequate metrics that consider both the badness of an ISP as well as the risk of collateral damage. We propose a set of metrics that combines the two. Specifically, the metrics compare each ISP’s “spamcount” with its “disconnectability”. We offer a concrete methodological approach to compute these metrics, and then illustrate the methodology using datasets involving spam statistics and autonomous system relationships. This analysis represents the first step in a broader program to assess the viability of economic countermeasures to spam and other types of malicious activity on the Internet.

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Citation formats  
  • HTML
    Benjamin Johnson, John Chuang, Jens Grossklags, Nicolas
    Christin. <a
    href="http://www.truststc.org/pubs/835.html"
    >Metrics for Measuring ISP Badness: The Case of
    Spam</a>, To appear in Proceedings of the 16th
    International Conference on Financial Cryptography and Data
    Security (FC'12, International Financial Cryptography
    Association, 12, February, 2012.
  • Plain text
    Benjamin Johnson, John Chuang, Jens Grossklags, Nicolas
    Christin. "Metrics for Measuring ISP Badness: The Case
    of Spam". To appear in Proceedings of the 16th
    International Conference on Financial Cryptography and Data
    Security (FC'12, International Financial Cryptography
    Association, 12, February, 2012.
  • BibTeX
    @inproceedings{JohnsonChuangGrossklagsChristin12_MetricsForMeasuringISPBadnessCaseOfSpam,
        author = {Benjamin Johnson and John Chuang and Jens
                  Grossklags and Nicolas Christin},
        title = {Metrics for Measuring ISP Badness: The Case of Spam},
        booktitle = {To appear in Proceedings of the 16th International
                  Conference on Financial Cryptography and Data
                  Security (FC'12},
        organization = {International Financial Cryptography Association},
        day = {12},
        month = {February},
        year = {2012},
        abstract = {We consider the problem of ISP targeting for spam
                  prevention through disconnection. Any such
                  endeavor has to rely on adequate metrics that
                  consider both the badness of an ISP as well as the
                  risk of collateral damage. We propose a set of
                  metrics that combines the two. Specifically, the
                  metrics compare each ISPâs âspamcountâ with
                  its âdisconnectabilityâ. We offer a concrete
                  methodological approach to compute these metrics,
                  and then illustrate the methodology using datasets
                  involving spam statistics and autonomous system
                  relationships. This analysis represents the first
                  step in a broader program to assess the viability
                  of economic countermeasures to spam and other
                  types of malicious activity on the Internet. },
        URL = {http://www.truststc.org/pubs/835.html}
    }
    

Posted by Mary Stewart on 4 Apr 2012.
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