Community Epidemic Detection with Syzygy

@inproceedings{Oliner2009CommunityED,
  title={Community Epidemic Detection with Syzygy},
  author={Adam J. Oliner and Ashutosh V. Kulkarni and Alex Aiken},
  year={2009}
}
An epidemic is malicious code running on a subset of a community, a homogeneous set of instances of an application. Syzygy is an epidemic detection framework that looks for time-correlated anomalies, i.e., divergence from a model of dynamic behavior. We show mathematically and experimentally that, by leveraging the statistical properties of a large community, Syzygy is able to detect epidemics even under adverse conditions, such as when an exploit employs both mimicry and polymorphism. This… CONTINUE READING
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