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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

Botnet traffic detection

A botnet is a network of internet-connected compromised devices. Botnets can be used to perform a distributed denial-of-service attack (DDoS attack), steal data, send spam, among many other creative malicious uses. Botnets can cause absurd amounts of damage. For example, a quick search for the word botnet on Google shows that 3 days before the time of writing, the Electrum Botnet Stole $4.6 Million in cryptocurrencies. In this recipe, we build a classifier to detect botnet traffic.

The dataset used is a processed subset of a dataset called CTU-13, and consists of botnet traffic captured in Czechia, at the CTU University in 2011. The dataset is a large capture of real botnet traffic mixed with normal and background ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content