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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 the following steps, we'll train and test a classifier on IoT network information:

  1. Import pandas and os and read in the training and testing data:
import pandas as pdimport ostraining_data = pd.read_csv("iot_devices_train.csv")testing_data = pd.read_csv("iot_devices_test.csv")

The data contains 298 features, as shown in the following screenshot:

  1. Create a training and testing dataset, where the target is the device category:
X_train, y_train = (    training_data.loc[:, training_data.columns != "device_category"].values,    training_data["device_category"],)X_test, y_test = ( testing_data.loc[:, testing_data.columns != "device_category"].values, ...
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Publisher Resources

ISBN: 9781789614671Supplemental Content