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@ -9,7 +9,7 @@
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}
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\DeclareAcronym{c2}{
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short = {{C2 server}},
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short = {{C\&C server}},
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long = {{command and control server}}
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}
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@ -7,3 +7,19 @@
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volume = {Vol. 38, No. 1},
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pages = {86-124}
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}
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@article{zhang_building_2014,
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title = {Building a Scalable System for Stealthy P2P-Botnet Detection},
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volume = {9},
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issn = {1556-6013, 1556-6021},
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url = {http://ieeexplore.ieee.org/document/6661360/},
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doi = {10.1109/TIFS.2013.2290197},
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pages = {27--38},
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number = {1},
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journaltitle = {{IEEE} Transactions on Information Forensics and Security},
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shortjournal = {{IEEE} Trans.Inform.Forensic Secur.},
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author = {Zhang, Junjie and Perdisci, Roberto and Lee, Wenke and Luo, Xiapu and Sarfraz, Unum},
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urldate = {2021-11-09},
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date = {2014-01},
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file = {Full Text:/home/me/Zotero/storage/PFXP8NLV/Zhang et al. - 2014 - Building a Scalable System for Stealthy P2P-Botnet.pdf:application/pdf}
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}
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12
content.tex
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content.tex
@ -54,5 +54,17 @@ A number of botnet operations were shut down like this and as the defenders uppe
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The idea is to build a decentralized network without single points of failure where the \acp{c2} are.
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In a \ac{p2p} botnet, each node in the network knows a number of it's neighbours and connects to those, each of these neighbours has a list of neighbours on his own, and so on.
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\subsection{Detection Techniques for \ac{p2p} Botnets}
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\begin{itemize}
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% TODO: BotGrep (in zhang_building_2014)
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\item Large scale network analysis (hard to differentiate from legitimate \ac{p2p} traffic (\eg{} BitTorrent), hard to get data, knowledge of some known bots required)
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% TODO: BotMiner
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\item Heuristics: Same traffic patterns, same malicious behaviour
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\end{itemize}
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% vim: set filetype=tex ts=2 sw=2 tw=0 et spell :
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