Explainable Artificial Intelligence for Trustworthy Internet of Things

From innovative solutions for securing IoT infrastructures against security attacks and privacy threats to advanced topics including responsible security intelligence, this comprehensive co-authored book offers a complete study of explainable artificial intelligence (XAI) for securing the internet of things (IoT).

About the author

Mohamed Abdel-Basset is an associate professor with the Faculty of Computers and Informatics, Zagazig University, Egypt. His research interests include AI, machine and deep learning, computational intelligence, security intelligence, IoT data mining, and applied statistics. He has been program chair for many conferences in the fields of AI optimization and complexity. He is also an editor and a reviewer for international journals and conferences. He holds a PhD from the Faculty of Computers and Informatics, Menoufia University, Egypt.

Summary

From innovative solutions for securing IoT infrastructures against security attacks and privacy threats to advanced topics including responsible security intelligence, this comprehensive co-authored book offers a complete study of explainable artificial intelligence (XAI) for securing the internet of things (IoT).

Product details

• Authors: Mohamed Abdel-Basset, Mohamed (Associate Professor Abdel-Basset, Hossam Hawash, Hossam (Research Assistant and Assistant Lecturer Hawash, Hossam Reda Hawash, Nour Moustafa, Nour (Nour Moustafa is a Senior Lecturer Moustafa, Nour (Senior Lecturer & Leader of Intelligent Security Moustafa, Albert Y Zomaya, Albert Y. (Peter Nicol Russell Chair Professor of Computing Zomaya
• Publisher: Institution of Engineering & Technology
• Languages: English
• Product format: Hardback
• Released: 19.11.2024
• EAN: 9781839538025
• ISBN: 978-1-83953-802-5
• No. of pages: 445
• Dimensions: 156 mm x 234 mm x 25 mm
• Weight: 803 g
• Series: Computing and Networks
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT