masterthesis/abstract.tex

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\begin{abstract}
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Botnets pose a huge risk to general internet infrastructure and services.
Distributed \Acs*{p2p} topologies make it harder to detect and take those botnets offline.
To take a \ac{p2p} botnet down, it has to be monitored to estimate the size and learn about the network topology.
With the growing damage and monetary value produced by such botnets, ideas emerged on how to detect and prevent monitoring activity in the network.
This work explores ways to make monitoring of fully distributed botnets more efficient, resilient, and harder to detect, by using a collaborative, coordinated approach.
Further, we show how the coordinated approach helps in circumventing anti-monitoring techniques deployed by botnets.
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\todo{do me}
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\end{abstract}
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\keywords{\Acs*{p2p}, botnet, monitoring, collaboration}
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