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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...

As you can see, in Step 1, we imported the pefile module to enumerate the samples. Once that is done, we define the convenience function, as you can see in Step 2. The reason being that it often imports using varying cases (upper/lower). This causes the same import to appear as distinct imports.

After preprocessing the imports, we then define another function to collect all the imports of a file into a list. We will also define a function to collect the names of the sections of a file in order to standardize these names such as .text, .rsrc, and .reloc while containing distinct parts of the file (Step 3). The files are then enumerated in our folders and empty lists will be created to hold the features we will be extracting. ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content