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Parisi - Hands-on artificial intelligence for cybersecurity implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies

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Hands-on artificial intelligence for cybersecurity implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies: summary, description and annotation

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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
Todays 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. Youll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and youll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, youll 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, youll 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 youre a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, youll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.
Table of Contents
- A Gentle Intro to AI for Cybersecurity Professionals
- Setting your AI for Cybersecurity Arsenal
- Ham or Spam? Detecting Email Cybersecurity Threats with AI
- Malware Threats Detection
- Network Anomaly Detection with AI
- Securing User Authentication
- Fraud Prevention with Cloud AI Solutions
- GANS: Attack and Defense
- Evaluating Algorithms
- Assessing your AI Arsenal

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Hands-On Artificial Intelligence for Cybersecurity Implement smart AI - photo 1
Hands-On Artificial Intelligence for Cybersecurity
Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies
Alessandro Parisi

BIRMINGHAM - MUMBAI HandsOn Artificial Intelligence for Cybersecurity - photo 2

BIRMINGHAM - MUMBAI
HandsOn Artificial Intelligence for Cybersecurity

Copyright 2019 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor:Pravin Dhandre
Acquisition Editor:Yogesh Deokar
Content Development Editor:Manorama Haridas
Technical Editor:Vibhuti Gawde
Copy Editor:Safis Editing
Project Coordinator:Kirti Pisat
Proofreader:Safis Editing
Indexer:Rekha Nair
Production Designer:Deepika Naik

First published: August 2019

Production reference: 1010819

Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.

ISBN 978-1-78980-402-7

www.packtpub.com

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Contributors
About the author

Alessandro Parisihas been an IT professional for over 20 years, acquiring significant experience as a security data scientist, and as an AI cybersecurity and blockchain specialist. He has experience of operating within organizational and decisional contexts characterized by high complexity. Over the years, he has helped companies to adopt AI and blockchain DLT technologies as strategic tools in protecting sensitive corporate assets.

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