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Mastering Machine Learning for Penetration Testing

You're reading from   Mastering Machine Learning for Penetration Testing Develop an extensive skill set to break self-learning systems using Python

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788997409
Length 276 pages
Edition 1st Edition
Languages
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Author (1):
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Chiheb Chebbi Chiheb Chebbi
Author Profile Icon Chiheb Chebbi
Chiheb Chebbi
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Machine Learning in Pentesting FREE CHAPTER 2. Phishing Domain Detection 3. Malware Detection with API Calls and PE Headers 4. Malware Detection with Deep Learning 5. Botnet Detection with Machine Learning 6. Machine Learning in Anomaly Detection Systems 7. Detecting Advanced Persistent Threats 8. Evading Intrusion Detection Systems 9. Bypassing Machine Learning Malware Detectors 10. Best Practices for Machine Learning and Feature Engineering 11. Assessments 12. Other Books You May Enjoy

Malware Detection with API Calls and PE Headers

Some of the most annoying threats in information security are malicious programs. Every day, we hear news about data breaches and cyber attacks with malware. Attackers are enhancing their development skills and building new malware that are able to bypass company safeguards and AV-products. This chapter will introduce some new techniques and solutions for defeating malware, using cutting-edge data science, Python libraries, and machine learning algorithms.

In this chapter, we will cover:

  • Malware analysis approaches
  • Machine learning aided malware analysis techniques, with practical, real-world Python projects
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