AI Models for Blockchain-Based Intelligent Networks in Iot Systems: Concepts, Methodologies, Tools, and Applications

Bhushan, Bharat, Sangaiah, Arun Kumar, Nguyen, Tu N.

  • 出版商: Springer
  • 出版日期: 2023-06-10
  • 售價: $8,520
  • 貴賓價: 9.5$8,094
  • 語言: 英文
  • 頁數: 392
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031319516
  • ISBN-13: 9783031319518
  • 相關分類: 人工智慧區塊鏈 Blockchain物聯網 IoT
  • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

本書的目標是探索各種安全範式,如機器學習、大數據、物聯網和區塊鏈,以解決物聯網設備中的智能和可重構性問題。本書還旨在探討和分析基於區塊鏈的智能網絡在物聯網系統和相關技術(包括醫療領域)中的最新發展。人工智能可以為物聯網系統中的區塊鏈決策過程提供便利、優化和自動化,以實現更好的治理和更高的性能。考慮到人工智能模型取得的令人難以置信的進展,由智能人工智能算法驅動的區塊鏈系統可以檢測到任何類型的攻擊存在並自動調用所需的防禦機制。在不可避免的損害情況下,人工智能模型可以幫助將受損組件從區塊鏈平台中隔離,保護整個系統免於崩潰。此外,人工智能模型還可以為基於區塊鏈的智能物聯網網絡的穩健性和可擴展性做出貢獻。本書旨在成為大學圖書館、學術機構、研究和開發中心、信息技術中心以及對人工智能和物聯網整合感興趣的任何機構的首選參考資料。本書的目標讀者包括本科/研究生學生、該領域的博士研究生、行業技術人員、年輕企業家、專業人士、網絡設計師、數據科學家、技術專家、從業人員以及對探索人工智能和區塊鏈技術在物聯網系統中的作用感興趣的人。