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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…

We start by reading a CRP dataset into a dataframe (step 1). In step 2, we create x and y NumPy arrays to hold the features and labels. Next, we train-test split our data (step 3) and then train and test a classifier for CRPs (steps 4 and 5). Based on performance, we can see that ML can accurately predict responses to PUF challenges. The implications are that, while using our trained model, we can build a software clone of the PUF and use it to (falsely) authenticate.

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Publisher Resources

ISBN: 9781789614671Supplemental Content