Investigating the impact of real-world factors on internet worm propagation

  • Authors:
  • Daniel A. Ray;Charles B. Ward;Bogdan Munteanu;Jonathan Blackwell;Xiaoyan Hong;Jun Li

  • Affiliations:
  • Department of Computer Science, University of Alabama, Tuscaloosa, AL;Department of Computer Science, University of Alabama, Tuscaloosa, AL;Department of Computer Science, University of Alabama, Tuscaloosa, AL;Department of Computer Science, University of Alabama, Tuscaloosa, AL;Department of Computer Science, University of Alabama, Tuscaloosa, AL;Department of Computer and Information Science, University of Oregon, Eugene, OR

  • Venue:
  • ICISS'07 Proceedings of the 3rd international conference on Information systems security
  • Year:
  • 2007

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Abstract

This paper reports the results of our experimentation with modeling worm behavior on a large scale, fully adaptable network simulator. Our experiments focused on areas of worm scanning methods, IP address structure, and wireless links that, to the best of our knowledge, have been mostly neglected or abstracted away in prior worm simulations. Namely, our intent was to first study by direct observation of our simulations the effects of various IP scanning techniques on the effectiveness of worm spread. Second, our intent was to research the effects that having a larger IP address space (specifically a sparsely populated IP address space like that provided by Internet Protocol Version 6) would have on the effectiveness of several worms. Third, we study how the wireless media may affect the propagation of worms. In order to perform these simulations we have made use of the Georgia Institute of Technology's network simulator, GTNetS, extending the worm classes packaged with the simulator.