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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...

In the literature and industry, it has been determined that the most frequent N-grams are also the most informative ones for a malware classification algorithm. For this reason, in this recipe, we will write functions to extract them for a file. We start by importing some helpful libraries for our extraction of N-grams (step 1). In particular, we import the collections library and the ngrams library from nltk. The collections library allows us to convert a list of N-grams to a frequency count of the N-grams, while the ngrams library allows us to take an ordered list of bytes and obtain a list of N-grams. We specify the file we would like to analyze and write a function that will read all of the bytes of a given file (steps ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content