Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence (Studies in Computational Intelligence, 1025, Band 1025) - Hardcover

Buch 518 von 538: Studies in Computational Intelligence
 
9783030966294: Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence (Studies in Computational Intelligence, 1025, Band 1025)
Hardcover
ISBN 10: 3030966291 ISBN 13: 9783030966294
Verlag: Springer, 2022

Inhaltsangabe

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.

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Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
3030966291
ISBN 13 
9783030966294
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
292
Herausgeber
Ahmed Mohiuddin, Islam Sheikh Rabiul, Anwar Adnan, Moustafa Nour, Pathan Al-Sakib Khan
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

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Vorgestellte Ausgabe

ISBN 10:  3030966321 ISBN 13:  9783030966324
Verlag: Springer, 2023
Softcover