Deep Learning for Internet of Things Infrastructure

ISBN-13: 9780367457334 / Angielski / Twarda / 2021 / 248 str.

Uttam Ghosh; Mamoun Alazab; Ali Kashif Bashir

Opis

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. 

Spis treści

1. Data Caching at Fog Nodes under IoT Networks: Review of Machine Learning Approaches 2. ECC-Based Privacy-Preserving Mechanisms Using Deep Learning for Industrial IoT: A State-of-the-Art Approaches 3. Contemporary Developments and Technologies in Deep Learning–Based IoT 4. Deep Learning–Assisted Vehicle Counting for Intersection and Traffic Management in Smart Cities 5. Toward Rapid Development and Deployment of Machine Learning Pipelines across Cloud-Edge 6. Category Identification Technique by a Semantic Feature Generation Algorithm 7. Role of Deep Learning Algorithms in Securing Internet of Things Applications 8. Deep Learning and IoT in Ophthalmology 9. Deep Learning in IoT-Based Healthcare Applications 10. Authentication and Access Control for IoT Devices and Its Applications 11. Deep Neural Network–Based Security Model for IoT Device Network