| 期刊全称 | AI Models for Blockchain-Based Intelligent Networks in IoT Systems | | 期刊简称 | Concepts, Methodolog | | 影响因子2023 | Bharat Bhushan,Arun Kumar Sangaiah,Tu N. Nguyen | | 视频video | | | 发行地址 | Improves the awareness of readers about merging Blockchain Technology and AI for intelligent IoT systems.Includes recent development and new models related to AI-powered blockchain models for intellig | | 学科分类 | Engineering Cyber-Physical Systems and Critical Infrastructures | | 图书封面 |  | | 影响因子 | 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 ce | | Pindex | Book 2023 |
The information of publication is updating
|
|
发表于 2025-3-21 17:20:37
