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Machine Learning for Cybersecurity Cookbook

You're reading from   Machine Learning for Cybersecurity Cookbook Over 80 recipes on how to implement machine learning algorithms for building security systems using Python

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781789614671
Length 346 pages
Edition 1st Edition
Languages
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Author (1):
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Emmanuel Tsukerman Emmanuel Tsukerman
Author Profile Icon Emmanuel Tsukerman
Emmanuel Tsukerman
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Table of Contents (11) Chapters Close

Preface 1. Machine Learning for Cybersecurity FREE CHAPTER 2. Machine Learning-Based Malware Detection 3. Advanced Malware Detection 4. Machine Learning for Social Engineering 5. Penetration Testing Using Machine Learning 6. Automatic Intrusion Detection 7. Securing and Attacking Data with Machine Learning 8. Secure and Private AI 9. Other Books You May Enjoy Appendix

Preface

Cyber threats today are one of the key problems every organization faces. This book uses various Python libraries, such as TensorFlow, Keras, scikit-learn, and others, to uncover common and not-so-common challenges faced by cybersecurity researchers.

The book will help readers to implement intelligent solutions to existing cybersecurity challenges and build cutting edge implementations that cater to increasingly complex organizational needs. By the end of this book, you will be able to build and use machine learning (ML) algorithms to curb cybersecurity threats using a recipe-based approach.

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