Mastering Machine Learning for Penetration Testing: Develop an extensive skill set to break self-learning systems using Python
β Scribed by Chiheb Chebbi
- Publisher
- Packt Publishing
- Year
- 2018
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
We live in an era where cyber security plays an important role. As systems are getting smarter, we now see machine learning interrupting computer security. With the adoption of machine learning in upcoming security products, itβs important for pentesters and security researchers to understand how these systems work, and to breach them for testing purposes.
π SIMILAR VOLUMES
<p><span>Become a master at penetration testing using machine learning with Python</span></p><h4><span>Key Features</span></h4><ul><li><span><span> Identify ambiguities and breach intelligent security systems </span></span></li><li><span><span> Perform unique cyber attacks to breach robust systems <
Cybercriminals are always one step ahead, when it comes to tools and techniques. This means you need to use the same tools and adopt the same mindset to properly secure your software. This course shows you how to do just that, demonstrating how effective Python can be for powerful pentesting that ke
<span>Get familiar with various Supervised, Unsupervised and Reinforcement learning algorithms</span><span><br><br> </span><span>Key Features</span><ul><li><span><span>Understand the types of Machine learning.</span></span></li><li><span><span> Get familiar with different Feature extraction methods.
The second edition of βMachine Learning for Beginnersβ addresses key concepts and subjects in Machine Learning. The book begins with an introduction to the foundational principles of machine learning, followed by a discussion of data preprocessing. It then delves into feature extraction and featu
<p><span>Leverage the simplicity of Python and available libraries to build web security testing tools for your application</span></p><h4><span>Key Features</span></h4><ul><li><span><span> Understand the web application penetration testing methodology and toolkit using Python</span></span></li><li><