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 first step is simply to load the data. In Step 2, we set an administrative cost based on the expected cost of replacing a credit card. In addition, we estimate the business cost of freezing a customer's banking operations until all transactions are verified. In practice, you should obtain an accurate figure that is appropriate to the credit card company or business use case in question. Using the parameters we have defined, we define a cost matrix in Step 3 that takes into account the administrative cost of replacing a credit card, business interruption from freezing a customer, and so on. In Steps 4 and 5, we train-test split our data. Next, we would like to see how the example-dependent, cost-sensitive classifier performs ...

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