TY  - BOOK
AU  - Abdel-Basset,Mohamed
AU  - Moustafa,Nour
AU  - Hawash,Hossam
TI  - Deep learning approaches for security threats in IoT environments
SN  - 9781119884170
AV  - TK5105.8857 .A255 2023eb
U1  - 004.67/8 22
PY  - 2023///]
CY  - Hoboken, New Jersey
PB  - John Wiley & Sons, Inc.
KW  - Internet of things
KW  - Security measures
KW  - Data processing
KW  - Deep learning (Machine learning)
KW  - Internet des objets
KW  - S�ecurit�e
KW  - Mesures
KW  - Informatique
KW  - Apprentissage profond
KW  - fast
N1  - Includes bibliographical references and index
N2  - "Deep Learning Approaches for Security Threats in IoT Environments discusses approaches and measures to ensure our IoT systems are secure. This book discusses important concepts of AI and IoT and applies vital approaches that can be used to protect our systems - these include supervised, unsupervised, and semi-supervised Deep Learning approaches as well as Reinforcement and Federated Learning for privacy-preserving. This book applies Digital Forensics to IoT and discusses problems that professionals may encounter when working in the field of IoT forensics, providing ways in which smart devices can solve cyber security issues. Aimed at readers within the cyber security field, this book presents the most recent challenges that are faced in deep learning when creating a secure platform for IoT systems and addresses the possible solutions, paving the way for a more secure future"--
UR  - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119884170
ER  -