Book Image

Hands-On Machine Learning for Cybersecurity

By : Soma Halder, Sinan Ozdemir
Book Image

Hands-On Machine Learning for Cybersecurity

By: Soma Halder, Sinan Ozdemir

Overview of this book

Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not. Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems
Table of Contents (13 chapters)
Free Chapter
Basics of Machine Learning in Cybersecurity
Using Data Science to Catch Email Fraud and Spam

Installation of TensorFlow

By performing a simple and clean TensorFlow installation, the installation becomes very easy, and a simple pip statement will be fine. So if your are installing TensorFlow just to learn its capabilities, you can run the following code:

$ pip install tensorflow

To install TensorFlow in a conda environment, run the following:

conda install –n tensorflow spyder

TensorFlow, however, overrides existing installations of Python. So if Python is being used for other processes, the previous installation may break the existing versions. In such a case, it is recommended that you either check the respective dependencies or get hold of a virtual environment where you can do the TensorFlow installation.

In the following section, we will set up a virtual environment where we will install TensorFlow. We start with installing virtualenv in the machine...