Book Image

Machine Learning for Cybersecurity Cookbook

By : Emmanuel Tsukerman
Book Image

Machine Learning for Cybersecurity Cookbook

By: Emmanuel Tsukerman

Overview of this book

Organizations today face a major threat in terms of cybersecurity, from malicious URLs to credential reuse, and having robust security systems can make all the difference. With this book, you'll learn how to use Python libraries such as TensorFlow and scikit-learn to implement the latest artificial intelligence (AI) techniques and handle challenges faced by cybersecurity researchers. You'll begin by exploring various machine learning (ML) techniques and tips for setting up a secure lab environment. Next, you'll implement key ML algorithms such as clustering, gradient boosting, random forest, and XGBoost. The book will guide you through constructing classifiers and features for malware, which you'll train and test on real samples. As you progress, you'll build self-learning, reliant systems to handle cybersecurity tasks such as identifying malicious URLs, spam email detection, intrusion detection, network protection, and tracking user and process behavior. Later, you'll apply generative adversarial networks (GANs) and autoencoders to advanced security tasks. Finally, you'll delve into secure and private AI to protect the privacy rights of consumers using your ML models. By the end of this book, you'll have the skills you need to tackle real-world problems faced in the cybersecurity domain using a recipe-based approach.
Table of Contents (11 chapters)

Deanonymizing Tor using machine learning

Tor is a free, open source software for enabling anonymous communication. In addition, websites accessible only when using the Tor browser exist, and are part of the dark web ecosystem – the name given to the part of the internet that is hidden from the average user. In this recipe, we will deanonymize Tor traffic by collecting enough features and information from individual sessions to be able to identify the activity of anonymized users. This recipe utilizes the conmarap/website-fingerprinting repository.

Getting ready

You will now be guided through the steps needed to set up Tor and the Lynx web browser:

  1. Set up an Ubuntu VM.
  2. Install git in the Terminal by running the...