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• W2534494200 abstract "Botnet use is on the rise, with a growing number of botmasters now switching to the HTTP-based C&C infrastructure. This offers them more stealth by allowing them to blend in with benign web traffic. Several works have been carried out aimed at characterising or detecting HTTP-based bots, many of which use network communication features as identifiers of botnet behaviour. In this paper, we present a survey of these approaches and the network features they use in order to highlight how botnet traffic is currently differentiated from normal traffic. We classify papers by traffic types, and provide a breakdown of features by protocol. In doing so, we hope to highlight the relationships between features at the application, transport and network layers." @default.
• W2534494200 created "2016-10-28" @default.
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• W2534494200 date "2016-12-01" @default.
• W2534494200 modified "2023-09-29" @default.
• W2534494200 title "Survey of approaches and features for the identification of HTTP-based botnet traffic" @default.
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• W2534494200 doi "https://doi.org/10.1016/j.jnca.2016.10.007" @default.
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