Hands-On Artificial Intelligence for Cybersecurity
Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies
Alessandro Parisi
- 342 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Hands-On Artificial Intelligence for Cybersecurity
Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies
Alessandro Parisi
About This Book
Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets
Key Features
- Identify and predict security threats using artificial intelligence
- Develop intelligent systems that can detect unusual and suspicious patterns and attacks
- Learn how to test the effectiveness of your AI cybersecurity algorithms and tools
Book Description
Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions.
This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication.
By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI.
What you will learn
- Detect email threats such as spamming and phishing using AI
- Categorize APT, zero-days, and polymorphic malware samples
- Overcome antivirus limits in threat detection
- Predict network intrusions and detect anomalies with machine learning
- Verify the strength of biometric authentication procedures with deep learning
- Evaluate cybersecurity strategies and learn how you can improve them
Who this book is for
If you're a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you'll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.
Frequently asked questions
Information
Section 1: AI Core Concepts and Tools of the Trade
- Chapter 1, Introduction to AI for Cybersecurity Professionals
- Chapter 2, Setting Up Your AI for Cybersecurity Arsenal
Introduction to AI for Cybersecurity Professionals
- Applying AI in cybersecurity
- The evolution from expert systems to data mining and AI
- The different forms of automated learning
- The characteristics of algorithm training and optimization
- Beginning with AI via Jupyter Notebooks
- Introducing AI in the context of cybersecurity
Applying AI in cybersecurity
Evolution in AI: from expert systems to data mining
A brief introduction to expert systems
Reflecting the indeterministic nature of reality
Going beyond statistics toward machine learning
Mining data for models
Types of machine learning
- Supervised learning
- Unsupervised learning
- Reinforcement learning