Placeholder text
AI-Driven Security for Next-Generation IoT Systems
0 - Default Title
Description
This book highlights the requirement of harnessing advanced artificial intelligence and machine learning approaches to address the evolving landscape of IoT threats, underscoring the intersection of security, scalability, and automation in next-generation IoT environments. Subsequently, the chapters investigate the fundamental methodologies and innovations transforming IoT security. Hence, topics treated range from the assessment of deep learning approaches for intrusion detection to the development of multi-factor authentication schemes based on elliptic curve cryptography.
This book is appropriate for advanced-level students in computer science and junior researchers, who are studying relevant subjects such as the Internet of Things, cybersecurity, wireless communications, and artificial intelligence. Researchers, cybersecurity specialist and professionals working in advanced IoT, data security, artificial intelligent applications or similar fields will want to purchase this book as well.
Product details
Number of Pages:
252
Release Date:
2026-01-03
Publication Date:
2026-01-03
Publisher:
Springer
Languages:
Original:
English
ISBN10:
303208783X
ISBN13:
9783032087836
GPSR Manufacturer Reference:
Weight:
545 g
Height:
160 cm
Width:
241 cm
Thickness:
20 cm
Currently sold out