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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…

The initial steps in the hash-gram recipe are similar to the ordinary extraction of N-grams. First, we prepare by specifying the folders containing our samples, our value of N (as in N-grams). In addition, we import a hashing library, which is an action different from the ordinary extraction of N-grams (Step 1). Continuing our preparation, we define a function to read in all the bytes of a file (as opposed to reading in its content) and turn these into N-grams (Step 2). We define a function to compute the MD5 hash of an N-gram and return the result as a hexadecimal number. Additionally, we define a function to convert an N-gram to its byte constituents in order to be able to hash it (Step 3).

Next, we define a function to iterate ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content