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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 to do it...

In this recipe, you will build a classifier to determine which packer was used to pack a file:

  1.  Read in the names of the files to be analyzed along with their labels, corresponding to the packer used:
import osfrom os import listdirdirectories_with_labels = [    ("Benign PE Samples", 0),    ("Benign PE Samples UPX", 1),    ("Benign PE Samples Amber", 2),]list_of_samples = []labels = []for dataset_path, label in directories_with_labels:    samples = [f for f in listdir(dataset_path)]    for file in samples:        file_path = os.path.join(dataset_path, file)        list_of_samples.append(file_path)        labels.append(label)
  1. Create a train-test split:
from sklearn.model_selection import train_test_splitsamples_train, samples_test, labels_train, labels_test ...
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Publisher Resources

ISBN: 9781789614671Supplemental Content