Explainable Artificial Intelligence for Cyber Security : Next Generation Artificial Intelligence /

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...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Ahmed, Mohiuddin (Editor), Islam, Sheikh Rabiul (Editor), Anwar, Adnan (Editor), Moustafa, Nour (Editor), Pathan, Al-Sakib Khan (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Series:	Studies in Computational Intelligence, 1025
Subjects:	Engineering-Data processing. Computational intelligence. Artificial intelligence. Cooperating objects (Computer systems). Data protection. Data Engineering. Computational Intelligence. Artificial Intelligence. Cyber-Physical Systems. Data and Information Security. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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.
Physical Description:	1 online resource (XII, 280 pages 88 illustrations, 80 illustrations in color.)
ISBN:	9783030966300
ISSN:	1860-9503 ;
DOI:	10.1007/978-3-030-96630-0