Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Mastering Machine Learning for Penetration Testing: Develop an extensive skill set to break self-learning systems using Python

Buy

Become a master at penetration testing using machine learning with Python

Key Features

  • Identify ambiguities and breach intelligent security systems
  • Perform unique cyber attacks to breach robust systems
  • Learn to leverage machine learning algorithms

Book Description

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

This book begins with the basics of machine learning and the algorithms used to build robust systems. Once you've gained a fair understanding of how security products leverage machine learning, you'll dive into the core concepts of breaching such systems. Through practical use cases, you'll see how to find loopholes and surpass a self-learning security system.

As you make your way through the chapters, you'll focus on topics such as network intrusion detection and AV and IDS evasion. We'll also cover the best practices when identifying ambiguities, and extensive techniques to breach an intelligent system.

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

What you will learn

  • Take an in-depth look at machine learning
  • Get to know natural language processing (NLP)
  • Understand malware feature engineering
  • Build generative adversarial networks using Python libraries
  • Work on threat hunting with machine learning and the ELK stack
  • Explore the best practices for machine learning

Who this book is for

This book is for pen testers and security professionals who are interested in learning techniques to break an intelligent security system. Basic knowledge of Python is needed, but no prior knowledge of machine learning is necessary.

Table of Contents

  1. Introduction to Machine Learning in Pentesting
  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 with Adversarial Machine Learning
  9. Bypass machine learning malware Detectors
  10. Best Practices for Machine Learning and Feature Engineering
  11. Assessments
(HTML tags aren't allowed.)

Software Development: Building Reliable Systems
Software Development: Building Reliable Systems

80% of software projects fail -- here’s why the other 20% succeed!

Software Development is the most thorough, realistic guide to "what works" in software development - and how to make it happen in your organization. Leading consultant Marc Hamilton tackles all three key components of...

CliffsNotes Making Microsoft Windows Me Work For You
CliffsNotes Making Microsoft Windows Me Work For You
What you need to know now When it comes to pinpointing the stuff you really need to know, nobody does it better than CliffsNotes. Packed with time-saving tips, tricks, and techniques, this no-nonsense guide delivers the practical know-how you need to get up and running fast on Windows Me. CliffsNotes. They helped you get through school. Now let...
Science in the Age of Computer Simulation
Science in the Age of Computer Simulation

Computer simulation was first pioneered as a scientific tool in meteorology and nuclear physics in the period following World War II, but it has grown rapidly to become indispensible in a wide variety of scientific disciplines, including astrophysics, high-energy physics, climate science, engineering, ecology, and economics. Digital computer...


Autodesk InfraWorks 360 and Autodesk InfraWorks 360 LT Essentials
Autodesk InfraWorks 360 and Autodesk InfraWorks 360 LT Essentials

Get up to speed and get to work quickly with the official InfraWorks handbook

Autodesk InfraWorks and InfraWorks 360 Essentials, 2nd Edition is your comprehensive, hands-on guide to this popular civil engineering software. This unique guide features concise, straightforward explanations and real world exercises...

Invest Like a Guru: How to Generate Higher Returns At Reduced Risk With Value Investing
Invest Like a Guru: How to Generate Higher Returns At Reduced Risk With Value Investing

Adopt the investment strategy that built Warren Buffett's fortune

Invest Like a Guru provides an invaluable resource for high-quality-focused value investing, with expert insight and practical tools for implementation. Written by the man behind GuruFocus.com, this book expands on the site's value...

Introduction to C++ Programming and Graphics
Introduction to C++ Programming and Graphics
C++ has grown rapidly in response to the practical need for a programming language that is able to efficiently handle composite and diverse data types. Today, C++ dominates the commercial market and is favored among application developers.

Introduction to C++ Programming and Graphics offers a venue for rapidly learning the...

©2019 LearnIT (support@pdfchm.net) - Privacy Policy