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...

Analyzing keystroke dynamics utilizes the rhythm and pace at which a user types on a keyboard to verify that individual's identity. We begin by setting up some baselines. In step 1 and step 2, we set up the keystroke dynamics system to learn the typing pattern of the first user. We then do the same for the second user (step 3). This establishes our normal users, as well as their typing patterns. In step 4 and step 5, we utilize our trained model (trained in steps 1-3), to determine who the current user is. As you can see, the classifier outputs a similarity score and a prediction of who the current user is from its catalog of saved users. This allows us to detect unauthorized users, as well as to simply keep track of system ...

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