Handbook of Research of Internet of Things and Cyber-Physical Systems

Regular price €95.99
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
Attribute Based Encryption
Big DA
Big Data
blockchain for data security
Blockchain Technology
Category=UKL
Category=UY
Cloud Computing
Cloud Service Provider
Cyber Physical Systems
Cyber Physical Systems Applications
cyber security applications
Edge Computing
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fog Computing
Grey Wolf Optimization
industrial automation networks
IoT Application
IoT Device
IoT Network
IoT System
machine learning for cyber-physical systems
machine learning integration
Private Key
RRT
SDN
Secret Key
Smart Cities
Smart Grid
smart grid technology
Smart Home
Smart Phones
Software Transactional Memory
Transactional Memory
urban mobility systems

Product details

  • ISBN 9781774638354
  • Weight: 1120g
  • Dimensions: 156 x 234mm
  • Publication Date: 26 Aug 2024
  • Publisher: Apple Academic Press Inc.
  • Publication City/Country: CA
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

This new volume discusses how integrating IoT devices and cyber-physical systems can help society by providing multiple efficient and affordable services to users. It covers the various applications of IoT-based cyber-physical systems, such as satellite imaging in relation to climate change, industrial control systems, e-healthcare applications, security uses, automotive and traffic monitoring and control, urban smart city planning, and more. The authors also outline the methods, tools, and algorithms for IoT-based cyber-physical systems and explore the integration of machine learning, blockchain, and Internet of Things-based cloud applications.

With the continuous emerging new technologies and trends in IoT technology and CPS, this volume will be a helpful resource for scientists, researchers, industry professionals, faculty and students, and others who wish to keep abreast of new developments and new challenges for sustainable development in Industry 4.0.

Amit Kumar Tyagi, PhD, is Senior Assistant Professor and Senior Researcher at the Vellore Institute of Technology, Chennai Campus, India. He was formerly affiliated with the Lord Krishna College of Engineering, Ghaziabad, India, and was formerly an Assistant Professor and Head of Research at Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad, Haryana, India. His current research focuses on machine learning with big data, blockchain technology, data science, cyber-physical systems, smart and secure computing, and privacy. He has contributed to several projects such as AARIN and P3-Block to address some of the open issues related to the privacy breaches in vehicular applications (such as parking) and medical cyber-physical systems. Also, he has published more than eight patents related to deep learning, Internet of Things, cyber-physical systems, and computer vision. Dr. Tyagi received his PhD degree from Pondicherry Central University, India.

Niladhuri Sreenath, PhD, is Professor of the Department of Computer Science and Engineering at Puducherry Technological University, Puducherry, Tamil Nadu, India. His primary research interests lie in WDM optical networks and privacy and trust. He has published several journal articles, conferences papers, and book chapters. He obtained his PhD in Computer Science from the Indian Institute of Technology, Madras, India.