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Stochastic behavior of random constant scanning worms

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2 Author(s)
K. R. Rohloff ; Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA ; T. Basar

This paper discusses modeling and simulation issues associated with the stochastic behavior of a special type of a computer worm called a random constant scanning (RCS) worm. Although these worms propagate by randomly scanning network addresses to find hosts that are susceptible to infection, traditional RCS worm models are fundamentally deterministic. A density-dependent Markov jump process model for RCS worms is presented and analyzed. Conditions are shown for when worm models can safely ignore some stochastic properties of RCS worm propagation. A computationally simple hybrid deterministic/stochastic model for the observed scanning behavior on a local network due to the global propagation of an RCS scanning worm is also presented and discussed.

Published in:

Proceedings. 14th International Conference on Computer Communications and Networks, 2005. ICCCN 2005.

Date of Conference:

17-19 Oct. 2005