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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

Securing and Attacking Data with Machine Learning

In this chapter, we will learn how to employ machine learning (ML) to secure and attack data. We will cover how to assess the strength of a password using ML, and conversely, how to crack passwords using deep learning. Similarly, we will cover how to hide messages in plain sight using steganography, as well as how to detect steganography using ML. In addition, we will apply ML with hardware security to attack physically unclonable functions (PUFs) using AI.

In this chapter, we will cover the following recipes:

  • Assessing password security using ML
  • Deep learning for password cracking
  • Deep steganography
  • ML-based steganalysis
  • ML attacks on PUFs
  • Encryption using deep learning
  • HIPAA data breaches ...
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Publisher Resources

ISBN: 9781789614671Supplemental Content