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A botnet detection game

Authors: Braden Soper; John Musacchio;

A botnet detection game

Abstract

Botnets continue to constitute a major security threat to users of the internet. We examine a novel security game between a bot master and the legitimate users of the compromised network. The more a bot master utilizes his botnet, the more likely it is he will be detected by the legitimate users of the network. Thus he must balance stealth and aggression in his strategic utilization of the botnet. The legitimate users of the network must decide how vigilant they will be in trying to detect the presence of the botnet infection. We establish the existence of a unique, pure, symmetric Nash equilibrium in a game with homogeneous agents. Network effects are numerically explored in relation to the infectivity of the network.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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