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Virus Propagation Modeling Chenxi Wang, Christos Faloutsos Yang Wang, Deepayan Chakrabarti chenxi@cmu.edu Carnegie Mellon University Center for Computer and Communications Security
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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
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Epidemiological Modeling Previous models –Homogeneous –BA Power-law graphs Epidemic threshold
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Epidemiological Modeling Previous predictions are not general Homogeneous Power law graphs
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Epidemiological Modeling Our threshold prediction 1, largest eigenvalue Captured in one parameter Works for arbitrary graphs! [WCWF03]
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