Hands-On Machine Learning for Cybersecurity: Safeguard your system by making your machines intelligent using the Python ecosystem

Språk
Engelsk
Format
Kategori

Fakta og dokumentar

Get into the world of smart data security using machine learning algorithms and Python libraries

Key Features

• Learn machine learning algorithms and cybersecurity fundamentals

• Automate your daily workflow by applying use cases to many facets of security

• Implement smart machine learning solutions to detect various cybersecurity problems

Book Description

Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain.

The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not.

Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems

What you will learn

• Use machine learning algorithms with complex datasets to implement cybersecurity concepts

• Implement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problems

• Learn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDA

• Understand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimes

• Use TensorFlow in the cybersecurity domain and implement real-world examples

• Learn how machine learning and Python can be used in complex cyber issues

Who this book is for

This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book

© 2018 Packt Publishing (E-bok): 9781788990967

Utgivelsesdato

E-bok: 31. desember 2018

Andre liker også ...

Derfor vil du elske Storytel:

  • Over 900 000 lydbøker og e-bøker

  • Eksklusive nyheter hver uke

  • Lytt og les offline

  • Kids Mode (barnevennlig visning)

  • Avslutt når du vil

Det mest populære valget

Unlimited

For deg som vil lytte og lese ubegrenset.

219 kr /måned
  • 1 konto

  • Ubegrenset lytting

  • Lytt så mye du vil

  • Over 900 000 bøker

  • Nye eksklusive bøker hver uke

  • Avslutt når du vil

Benytt tilbud

Premium

For deg som lytter og leser ofte.

189 kr /måned
  • 1 konto

  • 50 timer/måned

  • Lytt opptil 50 timer per måned

  • Over 900 000 bøker

  • Nye eksklusive bøker hver uke

  • Avslutt når du vil

Benytt tilbud
Familiens førstevalg

Family

For deg som ønsker å dele historier med familien.

Fra 289 kr/måned
  • 2-3 kontoer

  • Ubegrenset lytting

  • Lytt så mye du vil

  • Over 900 000 bøker

  • Nye eksklusive bøker hver uke

  • Avslutt når du vil

2 kontoer

289 kr /måned
Benytt tilbud

Basic

For deg som lytter og leser av og til.

149 kr /måned
  • 1 konto

  • 20 timer/måned

  • Lytt opp til 20 timer per måned

  • Over 900 000 bøker

  • Nye eksklusive bøker hver uke

  • Avslutt når du vil

Benytt tilbud

Lytt og les ubegrenset

Kos deg med ubegrenset tilgang til mer enn 700 000 titler.

  • Lytt og les så mye du vil
  • Utforsk et stort bibliotek med fortellinger
  • Over 1500 serier på norsk
  • Ingen bindingstid, avslutt når du vil
Prøv gratis
NO - Details page - Device banner - 894x1036
Cover for Hands-On Machine Learning for Cybersecurity: Safeguard your system by making your machines intelligent using the Python ecosystem