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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

How it works...

We started by loading in the #Anonops text dataset (step 1). The Anonops IRC channel has been affiliated with the Anonymous hacktivist group. In particular, chat participants have in the past planned and announced their future targets on Anonops. Consequently, a well-engineered ML system would be able to predict cyber attacks by training on such data. In step 2, we instantiated a hashing vectorizer. The hashing vectorizer gave us counts of the 1- and 2-grams in the text, in other words, singleton and consecutive pairs of words (tokens) in the articles. We then applied a tf-idf transformer to give appropriate weights to the counts that the hashing vectorizer gave us. Our final result is a large, sparse matrix representing the ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content