Simulating Internet Worms
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Abstract
The accurate and efficient modeling of Internet worms
is a particularly challenging task for network simulation
tools. The atypical and aggressive behavior of these worms
can easily consume excessive resources, both processing
time and storage, within a typical simulator. In particular,
the selection of random IP addresses, and the sending of
packets to the selected hosts, even if they are non–existent
or not modeled in the simulation scenario, is challenging
for existing network simulation tools. Further, the computation
of routing information for these randomly chosen target
addresses defeats most caching or on–demand routing
methods, resulting in substantial overhead in the simulator.
We discuss the design of our Internet worm models in
the Georgia Tech Network Simulator, and show how we addressed
these issues.We present some results from our Internet
worm simulations that show the rate of infection spread for a typical worm under a variety of conditions.
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Date
2004-10
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284612 bytes
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Proceedings