Metrics for measuring ISP badness: The case of spam

Benjamin Johnson, John Chuang, Jens Grossklags, Nicolas Christin

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

4 Scopus citations

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 themethodology 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.

Original languageEnglish (US)
Title of host publicationFinancial Cryptography and Data Security - 16th International Conference, FC 2012, Revised Selected Papers
Pages89-97
Number of pages9
DOIs
StatePublished - Sep 11 2012
Event16th International Conference on Financial Cryptography and Data Security, FC 2012 - Kralendijk, Bonaire, Netherlands
Duration: Feb 27 2012Mar 2 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7397 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Conference on Financial Cryptography and Data Security, FC 2012
CountryNetherlands
CityKralendijk, Bonaire
Period2/27/123/2/12

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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