Explainable Artificial Intelligence for Cyber Security (e-bog) af -
Pathan, Al-Sakib Khan (redaktør)

Explainable Artificial Intelligence for Cyber Security e-bog

1240,73 DKK (inkl. moms 1550,91 DKK)
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 pro...
E-bog 1240,73 DKK
Forfattere Pathan, Al-Sakib Khan (redaktør)
Forlag Springer
Udgivet 18 april 2022
Genrer Cybernetics and systems theory
Sprog English
Format epub
Beskyttelse LCP
ISBN 9783030966300
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.