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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

Employing anomaly detection for insider threats

Having engineered promising new features, our next steps are to train-test split, process the data into a convenient time series form, and then classify. Our training and testing sets will be two temporal halves of the dataset. This way, we can easily ensure that the shape of the input for training is the same as the shape of the input for testing, without cheating in our evaluation.

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Publisher Resources

ISBN: 9781789614671Supplemental Content