Mastering Machine Learning for Penetration Testing

Become a master at penetration testing using machine learning with Python
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Mastering Machine Learning for Penetration Testing

Chiheb Chebbi

Become a master at penetration testing using machine learning with Python
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Book Details

ISBN 139781788997409
Paperback497 pages

Book Description

Cyber security is crucial for both businesses and individuals. With systems getting smarter, we see that machine learning is interrupting computer security. With the adoption of machine learning in upcoming security products, it is important for pentesters and security researchers to understand the working of these systems and know how to breach them for testing purposes.

Mastering Machine Learning for Penetration Testing begins with the basics of machine learning and algorithms used to build robust systems. Once you have gained a fair understanding of how security products leverage machine learning, you'll dive into the core concepts of breaching such systems. With the help of practical use cases, this book will teach you how to find loop holes and surpass a self-learning security system. As you make your way through the chapters, you will focus on topics such asnetwork intrusion detection, MAC address spoofing detection over WiFi, and AV and IDS evasion. You will also cover best practices on identifying ambiguities and extensive techniques on breaching an intelligent system.

By the end of this book, you will be well-versed with identifying loop holes in a self-learning security system and will be able to efficiently breach a machine learning system.

Table of Contents

What You Will Learn

  • Take anin-depth look into machine learning
  • Learn natural language processing (NLP)
  • Understand malware feature engineering
  • Build generative adversarial networks using Python libraries
  • Work onthreat hunting with machine learning and ELK stack
  • Explore best practices for machine learning

Authors

Table of Contents

Book Details

ISBN 139781788997409
Paperback497 pages
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