Hands-On Artificial Intelligence for Cybersecurity: Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies
Authors: Alessandro Parisi
ISBN-10: 1789804027
ISBN-13: 9781789804027
Released: 2019-08-02
Print Length 页数: 342 pages
Book Description
Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets
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
contents
1 Introduction to AI for Cybersecurity Professionals
2 Setting Up Your AI for Cybersecurity Arsenal
3 Ham or Spam? Detecting Email Cybersecurity Threats with AI
4 Malware Threat Detection
5 Network Anomaly Detection with AI
6 Securing User Authentication
7 Fraud Prevention with Cloud AI Solutions
8 GANs – Attacks and Defenses
9 Evaluating Algorithms
10 Assessing your AI Arsenal
