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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

What this book covers

Chapter 1Machine Learning for Cybersecurity, covers the fundamental techniques of machine learning for cybersecurity.

Chapter 2Machine Learning-Based Malware Detection, shows how to perform static and dynamic analysis on samples. You will also learn how to tackle important machine learning challenges that occur in the domain of cybersecurity, such as class imbalance and false positive rate (FPR) constraints.

Chapter 3Advanced Malware Detection, covers more advanced concepts for malware analysis. We will also discuss how to approach obfuscated and packed malware, how to scale up the collection of N-gram features, and how to use deep learning to detect and even create malware.

Chapter 4Machine Learning for Social ...

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Publisher Resources

ISBN: 9781789614671Supplemental Content