Modeling Internet-Scale Policies for Cleaning up Malware

@article{Hofmeyr2011ModelingIP,
  title={Modeling Internet-Scale Policies for Cleaning up Malware},
  author={Steven A. Hofmeyr and T. Moore and S. Forrest and B. Edwards and George Stelle},
  journal={ArXiv},
  year={2011},
  volume={abs/1202.4008}
}
  • Steven A. Hofmeyr, T. Moore, +2 authors George Stelle
  • Published 2011
  • Computer Science
  • ArXiv
  • An emerging consensus among policy makers is that interventions undertaken by Internet Service Providers are the best way to counter the rising incidence of malware. However, assessing the suitability of countermeasures at this scale is hard. In this paper, we use an agent-based model, called ASIM, to investigate the impact of policy interventions at the Autonomous System level of the Internet. For instance, we find that coordinated intervention by the 0.2%-biggest ASes is more eective than 
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 65 REFERENCES
    The Economics of Information Security
    • 635
    • PDF
    The Role of Internet Service Providers in Botnet Mitigation an Empirical Analysis Based on Spam Data
    • 97
    • PDF
    Might Governments Clean-Up Malware?
    • 21
    • PDF
    Modeling Botnet Propagation Using Time Zones
    • 397
    • PDF
    Economics of Malware: Security Decisions, Incentives and Externalities
    • 66
    Modeling Botnets and Epidemic Malware
    • 23
    • Highly Influential
    • PDF