did-you-know? rent-now

Rent More, Save More! Use code: KBRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

Real World AI in Cybersecurity

9781119790174

Real World AI in Cybersecurity

  • ISBN 13:

    9781119790174

  • ISBN 10:

    1119790174

  • Edition: 1st
  • Format: Paperback
  • Copyright: 12/02/2021
  • Publisher: Wiley
Sorry, this item is currently unavailable.

List Price $45.00 Save $0.26

New $44.74

This is a hard-to-find title. We are making every effort to obtain this item, but do not guarantee stock.

We Buy This Book Back We Buy This Book Back!

Included with your book

Free Shipping On Every Order Free Shipping On Every Order

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Extend or Purchase Your Rental at Any Time

Need to keep your rental past your due date? At any time before your due date you can extend or purchase your rental through your account.

Summary

Real World AI in Cybersecurity provides hands on examples of using AI and machine learning to improve cybersecurity in systems of all sizes. It includes step-by-step guidance for using AI applications in system administration and cybersecurity. The more complex and frequent that cybersecurity attacks and data breaches become, the more cybersecurity experts will need to master tools including AI to help them spot the dangerous attacks and mitigate them.
The reader will learn to:
  • Overcome antivirus limits in threat detection, classify suspicious user activity, and use fraud detection algorithms
  • Use application performance monitoring (APM) tools and improve spam detection with advanced filtering techniques
  • Pick the right Python libraries for AI
  • Categorize advanced persistent threats (APT), zero-days, and malware samples
  • Use python tools to turn logs into datasets for analysis, predict network intrusions, and spot fake logins and fake accounts
  • Apply algorithms from AI for cybersecurity including decision trees, Bayesian classification, least squares regression and more
  • Use Jupyter notebooks and the key tools including MLBase.jl, cikitLearn.jl, MachineLearning.jl and Mocha.jl
  • Test data using AI to assess incident response

Supplemental Materials

Read more