Modeling malware spreading dynamics

  • Garetto M
  • Gong W
  • Towsley D
  • 49

    Readers

    Mendeley users who have this article in their library.
  • 92

    Citations

    Citations of this article.

Abstract

In this paper we present analytical techniques that can be used to better understand the behavior of malware, a generic term that refers to all kinds of malicious software programs propagating on the Internet, such as e-mail viruses and worms. We develop a modeling methodology based on Interactive Markov Chains that is able to capture many aspects of the problem, especially the impact of the underlying topology on the spreading characteristics of malware. We propose numerical methods to obtain useful bounds and approximations in the case of very large systems, validating our results through simulation. An analytic methodology represents a fundamentally important step in the development of effective countermeasures for future malware activity. Furthermore, we believe our approach can help to understand a wide range of "dynamic interactions on networks", such as routing protocols and peer-to-peer applications.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Authors

  • M. Garetto

  • W. Gong

  • D. Towsley

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free