Explainable Artificial Intelligence for Cyber Security - Next Generation Artificial Intelligence (Hardcover, 1st ed. 2022)

This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 1025
Release date:	April 2022
First published:	2022
Editors:	Mohiuddin Ahmed • Sheikh Rabiul Islam • Adnan Anwar • Nour Moustafa • Al-Sakib Khan Pathan
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	280
Edition:	1st ed. 2022
ISBN-13:	978-3-03-096629-4
Categories:	Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-096629-1
Barcode:	9783030966294

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