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Introduction to AI for Cybersecurity Professionals

In this chapter, we'll distinguish between the various branches of Artificial Intelligence (AI), focusing on the pros and cons of the different approaches of automated learning in the field of cybersecurity.

We will introduce different strategies for learning and optimizing of the various algorithms, and we'll also look at the main concepts of AI in action using Jupyter Notebooks and the scikit-learn Python library.

This chapter will cover the following topics:

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

Key benefits

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

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

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Frequently bought together

Hands-On Artificial Intelligence for Cybersecurity

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Hands-On Machine Learning for Cybersecurity

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Total $ 128.97

Jan McSweeney Dec 01, 2019

Python has a high profile with cyber security professionals and data scientists being the language of choice for many. The term “artificial intelligence” (AI) can often be a marketing device but this does not apply in the eBook ‘Hands-On Artificial Intelligence for Cybersecurity’. Author, Dr Alessandro Parisi, illuminates the term ‘AI’ shedding light upon its employment of perceptrons, the single and especially the multi layer which shows the highest degree of accuracy in predictions, and its analogy with the human brain. The text demonstrates that predictive analytics will result in many security tasks (zero-days detection, uncommon network threats detection, etc.) becoming automated, enabling the analyst to engage in the most noteworthy and challenging threats inspection, detection and resolution, leaving the triage phase to the machine. Another user-friendly design feature is the organisation of the text which provides the python expert and the non-python literate professional, such as myself, the ability to flick back & forth and gain immediate value from the important insights shared. The overall strategy is compelling and its guidance value, for data scientists and cyber security professionals, indispensable – a powerful tool in an AI arsenal.

Amazon Verified review

Ago Jun 09, 2022

Dopo attenta lettura posso pronunciarmi rispetto a questo manuale come uno degli esempi di praticità e chiarezza migliori del settore. Lettura consigliata sia per tutti gli appassionati. A+++++++++

Pasquale Sep 14, 2023

Ottimo libro, finalmente un po' di codice in python.

Tamzid Bhuiyan May 19, 2021

i would recommend it to student in collage or university. I just loved it

sipy Jan 01, 2021

Nothing "hands on" about this book - unless you call instructions for installing Anaconda and Jupyter Notebook "hands-on AI for cybersecurity". Other than that, it's a very wordy primer on what Machine Learning is, and how pieces of it might be used by someone. No code, no examples in the book. Needs an editor to rework it, and change the title to something like "Overview of Machine Learning Concepts". No AI, no 'hands-on". If you want a quick but overly-wordy primer on ML concepts, buy it. Otherwise, pass.

Hands-On Artificial Intelligence for Cybersecurity: Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies

What do you get with Print?

Hands-On Artificial Intelligence for Cybersecurity

Introduction to AI for Cybersecurity Professionals

Applying AI in cybersecurity

Evolution in AI: from expert systems to data mining

A brief introduction to expert systems

Types of machine learning

Supervised learning

Algorithm training and optimization

Getting to know Python's libraries

Supervised learning example – linear regression

AI in the context of cybersecurity

Summary

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