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 ...