Modeling the effects of timing parameters on virus propagation

  • Authors:
  • Yang Wang;Chenxi Wang

  • Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • Proceedings of the 2003 ACM workshop on Rapid malcode
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we investigate epidemiological models to reason about computer viral propagation. We extend the classical homogeneous models to incorporate two timing parameters: Infection delay and user vigilance. We show that these timing parameters greatly influence the propagation of viral epidemics, and that the explicit treatment of these parameters gives rise to a more realistic and accurate propagation model. We validate the new model with simulation analysis.