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Virus Propagation Modeling

Virus Propagation Modeling. Chenxi Wang, Christos Faloutsos Yang Wang, Deepayan Chakrabarti chenxi@cmu.edu Carnegie Mellon University. Center for Computer and Communications Security. Internet Viruses and Worms. Computer viruses/worms are a prevalent threat

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Virus Propagation Modeling

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  1. Virus Propagation Modeling Chenxi Wang, Christos Faloutsos Yang Wang, Deepayan Chakrabarti chenxi@cmu.edu Carnegie Mellon University Center for Computer and Communications Security

  2. Internet Viruses and Worms • Computer viruses/worms are a prevalent threat • SQL Slammer worm infected 90%+ of the vulnerable hosts within the first 10 minutes • Existing defenses are not adequate • Largely ad hoc • Require human intervention • Analytic models can help

  3. Epidemiological Modeling • Previous models • Homogeneous • BA Power-law graphs • Epidemic threshold 

  4. Epidemiological Modeling • Previous predictions are not general • Homogeneous • Power law graphs

  5. Epidemiological Modeling • Our threshold prediction 1, largest eigenvalue • Captured in one parameter • Works for arbitrary graphs! [WCWF03]

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