Skip to Content
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...

The greatest potential for a counterfeiting solution lies in obtaining a large dataset of images and using deep learning technology. In a regime where the dataset is relatively small, as is the case here, however, feature-engineering is mandatory. We begin attacking our problem by loading and then reading in a dataset into pandas (Steps 1 and 2). In the case of this dataset, a wavelet transform tool was used to extract features from the images. Next, in Steps 3 and 4, we train-test split the data and gather it into arrays. Finally, we fit and test a basic classifier on the dataset in Steps 5 and 6. The high score (98%) suggests that the features extracted for this dataset are indeed able to distinguish between authentic ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Hands-On Machine Learning for Cybersecurity

Hands-On Machine Learning for Cybersecurity

Soma Halder, Sinan Ozdemir
Machine Learning on Kubernetes

Machine Learning on Kubernetes

Faisal Masood, Ross Brigoli

Publisher Resources

ISBN: 9781789614671Supplemental Content