Team for Research in
Ubiquitous Secure Technology

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.

Electronic downloads

• paper_82-1.pdf · application/pdf · 738 kbytes

• 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 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. },
      URL = {http://www.truststc.org/pubs/835.html}
  }
  

Posted by Mary Stewart on 4 Apr 2012.
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