Book Image

Mastering Python for Networking and Security - Second Edition

By : José Ortega
Book Image

Mastering Python for Networking and Security - Second Edition

By: José Ortega

Overview of this book

It’s now more apparent than ever that security is a critical aspect of IT infrastructure, and that devastating data breaches can occur from simple network line hacks. As shown in this book, combining the latest version of Python with an increased focus on network security can help you to level up your defenses against cyber attacks and cyber threats. Python is being used for increasingly advanced tasks, with the latest update introducing new libraries and packages featured in the Python 3.7.4 recommended version. Moreover, most scripts are compatible with the latest versions of Python and can also be executed in a virtual environment. This book will guide you through using these updated packages to build a secure network with the help of Python scripting. You’ll cover a range of topics, from building a network to the procedures you need to follow to secure it. Starting by exploring different packages and libraries, you’ll learn about various ways to build a network and connect with the Tor network through Python scripting. You will also learn how to assess a network's vulnerabilities using Python security scripting. Later, you’ll learn how to achieve endpoint protection by leveraging Python packages, along with writing forensic scripts. By the end of this Python book, you’ll be able to use Python to build secure apps using cryptography and steganography techniques.
Table of Contents (22 chapters)
1
Section 1: The Python Environment and System Programming Tools
4
Section 2: Network Scripting and Extracting Information from the Tor Network with Python
8
Section 3: Server Scripting and Port Scanning with Python
12
Section 4: Server Vulnerabilities and Security in Python Modules
16
Section 5: Python Forensics

Managing threads in Python

Threads are streams that can be scheduled by the operating system and can be executed across a single core concurrently, or in parallel across multiple cores. Threads are a similar concept to processes: they are also code in execution. The main difference between the two is that threads are executed within a process, and processes share resources among themselves, such as memory.

We can differentiate two types of threads:

  • Kernel-level threads: Low-level threads; the user cannot interact with them directly.
  • User-level threads: High-level threads; we can interact with them in our Python code.

Creating a simple thread

For working with threads in Python, we need working with the threading module that provides a more convenient interface and allows developers to work with multiple threads. In the following example, we create four threads, and each one prints a different message that is passed as a parameter in the thread_message (message...