AI models for blockchain-based intelligent networks in IoT systems : concepts, methodologies, tools, and applications / Bharat Bhushan, Arun Kumar Sangaiah, Tu N. Nguyen, editors.
Bhushan, Bharat, 1989- editor.; Sangaiah, Arun Kumar, 1981- editor.; Nguyen, Tu N., editor.
2023
TK5105.8857
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title AI models for blockchain-based intelligent networks in IoT systems : concepts, methodologies, tools, and applications / Bharat Bhushan, Arun Kumar Sangaiah, Tu N. Nguyen, editors.
ISBN 9783031319525 (electronic bk.)
3031319524 (electronic bk.)
9783031319518
3031319516
DOI https://doi.org/10.1007/978-3-031-31952-5
Published Cham : Springer, [2023]
Copyright ©2023
Language English
Description 1 online resource (xi, 392 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-3-031-31952-5 doi
Call Number TK5105.8857
Dewey Decimal Classification 005.8/24
Summary The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 19, 2023).
Added Author Bhushan, Bharat, 1989- editor.
Sangaiah, Arun Kumar, 1981- editor.
Nguyen, Tu N., editor.
Series Engineering cyber-physical systems and critical infrastructures ; volume 6.
Available in Other Form Print version: 9783031319518
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
From Smart Devices to Smarter Systems: The Evolution of Artificial Intelligence of Things (AIoT) with Characteristics, Architecture, Use cases and Challenges
AI enabled human and machine activity monitoring in Industrial IoT systems
AI Model for Block-chain Based Industrial IoT and Big Data Analytics
SIMDPS: Smart Industry Monitoring And Disaster Prediction System
An Artificial Intelligence Based Sustainable Approaches - IoT Systems for Smart Cities
Empowering Artificial Intelligence of Things (AIoT) toward Smart Healthcare Systems
AI Enabled Internet of Medical Things In Smart Healthcare
AI Model for Blockchain based Industrial Application in Healthcare IoT.

Browse Subjects

Show more subjects...

Statistics

from
to
Export