Overview
- Serves as an excellent reference for those who are working in cyber security and artificial intelligence
- Presents recent research on Explainable Artificial Intelligence for Cyber Security
- Provides introduction to Fundamental Concepts of Explainable Artificial Intelligence and applications to Cyber Security
Part of the book series: Studies in Computational Intelligence (SCI, volume 1025)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (12 chapters)
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Explainable Artificial Intelligence for Cyber Security
Book Subtitle: Next Generation Artificial Intelligence
Editors: Mohiuddin Ahmed, Sheikh Rabiul Islam, Adnan Anwar, Nour Moustafa, Al-Sakib Khan Pathan
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-96630-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-96629-4Published: 19 April 2022
Softcover ISBN: 978-3-030-96632-4Published: 20 April 2023
eBook ISBN: 978-3-030-96630-0Published: 18 April 2022
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 280
Number of Illustrations: 8 b/w illustrations, 80 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Artificial Intelligence, Cyber-physical systems, IoT, Systems and Data Security