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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 Deep Learning

The human mind is a fascinating entity. The power of our subconscious and unconscious mind is incredible. What makes this power real is our ability to continuously self-learn and adapt quickly. This amazing gift of nature can calculate billions of tasks before you even realize what it does. For decades, scientists have been trying to build machines that are able to do simultaneous tasks like the human mind does—in other words, systems that are able to perform a huge number of tasks efficiently and at incredible speeds. A subfield of machine learning called Deep Learning (DL) arose to help us build algorithms that work like the human mind and are inspired by its structure. Information security professionals are also intrigued by such techniques, as they have provided promising results in defending against major cyber threats and attacks...

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