Reader small image

You're reading from  Hands-On Artificial Intelligence for Cybersecurity

Product typeBook
Published inAug 2019
Reading LevelBeginner
PublisherPackt
ISBN-139781789804027
Edition1st Edition
Languages
Right arrow
Author (1)
Alessandro Parisi
Alessandro Parisi
author image
Alessandro Parisi

Alessandro Parisi has been an IT professional for over 20 years, acquiring significant experience as a Security Data Scientist, and as an Artificial Intelligence 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 Artificial Intelligence and Blockchain DLT technologies as strategic tools in protecting sensitive corporate assets. He holds a Master Degree in Economics and Statistics.
Read more about Alessandro Parisi

Right arrow

Testing for data and model quality

So far, we have seen the technical difficulties that we face in the implementation of our detection systems.

More generally, every time we decide to use algorithms within our cybersecurity solutions, we must take into account the aspects of data quality and model quality, in order to ensure not only the accuracy of predictions, but also their reliability.

Let's continue by analyzing the aspects concerning the data quality process.

Assessing data quality

As we have repeated several times throughout the book, and particularly in Chapter 9, Evaluating Algorithms, the choice of algorithm is undoubtedly important, but the selection of data is even more crucial for the achievement of our objectives...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Hands-On Artificial Intelligence for Cybersecurity
Published in: Aug 2019Publisher: PacktISBN-13: 9781789804027

Author (1)

author image
Alessandro Parisi

Alessandro Parisi has been an IT professional for over 20 years, acquiring significant experience as a Security Data Scientist, and as an Artificial Intelligence 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 Artificial Intelligence and Blockchain DLT technologies as strategic tools in protecting sensitive corporate assets. He holds a Master Degree in Economics and Statistics.
Read more about Alessandro Parisi