Edge Intelligence and Analytics for Internet of Things
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Edge Intelligence and Analytics for Internet of Things

Edge Intelligence and Analytics for Internet of Things

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About the Book

Edge Computing and Intelligence is a new technical discipline that researches and develops theories, methods, technologies, and application systems for providing the fast and efficient processing and intelligent decision using the big data generated from IoT system. Edge Computing and Intelligence enabled Internet of Thing (IoT) system helps in alleviating the resource limitation of the IoT devices and facilities large scale deployment of IoT system for different applications such smart city, smart grid, smart home, smart healthcare system, smart video surveillance, e-healthcare etc. Edge Computing based IoT architecture facilitates computational and storage resources at the edge of the IoT system and helps in reducing the latency for end users. To facilitate an efficient processing and analysis of large amount of Big IoT data, AI techniques can be used at edge of the IoT system to enhance the response time. Due to deployment of the IoT devices in open environment and its interaction with other IoT devices through unstable and unreliable wireless channel, and placement of Edge nodes near to the IoT system, IoT devices will offer many chances for malicious attackers to compromise them through collusion attacks, and DoS attacks, and many other types of attacks. Thus, Analysis of the network traffic and IoT data at the Edge nodes with help of various latest AI techniques will address various issues such as anomaly detection in IoT data, data poisoning attacks, and other security and privacy issues of the IoT system. In this book, we will provide an overview of the fundamental concepts of Edge Computing, Edge intelligence using advance machine and deep learning models, architecture of Edge computing based IoT system, and edge computing based cyber threat intelligence solutions for IoT systems. The main aim of the book is to systematically collect and present quality research works in recent trends in Edge Computing and Edge Intelligence for IoT system. This book would emphasize and facilitate a greater understanding of various concepts such as Edge Computing and Edge Intelligence, Edge Intelligence enabled security and privacy approaches, application of the advance AI techniques such as machine/deep learning, federated learning, for IoT data analytics and solving various issues of the IoT system. There are numerous challenges in the development of Edge computing, Artificial Intelligence (AI) and IoT-based Engineering Applications from the Security and Privacy perspectives. This book will help in identifying areas where we are facing many challenges and applying Edge Computing, advanced machine and deep learning techniques for designing and development of Edge Computing based IoT system.

Table of Contents:
Chapter 1. Edge Intelligence for IoT: Architecture, Issues, and Applications Chapter 2. Edge Intelligence based Internet of Medical Things: Architecture, Issues, and Case Studies Chapter 3. Edge Intelligence based Intrusion Detection and Avoidance Framework for IoT Network Chapter 4. Edge Intelligence based Anomaly Detection for IoT Network Chapter 5. Edge Intelligence based Intelligent Transportation System Chapter 6. Edge Intelligence and IoT-based Smart Agriculture System Chapter 7. Edge Intelligence and Privacy Preservation Aware Intelligent Cyber Threats Detection Model Chapter 8. Edge Intelligence and Deep Learning Approaches based data analytics for Fog-enabled IoT Network Chapter 9. Edge Intelligence and Federated Learning based Healthcare Data Analytics Chapter 10. Edge Intelligence and Deep Reinforcement Learning based Big Data Analytics for IoT System Chapter 11. Edge Intelligence and Privacy-aware Threat Intelligence for Fog-enabled IoT Network using big data approaches. Chapter 12. Edge Intelligence and Blockchain-based security architecture for Fog-enabled IoT Systems Chapter 13. Blockchain and Edge Intelligence based forensic evidence preservation in Fog-enabled IoT Systems Chapter 14. Edge Intelligence based Botnet detection in Fog-enabled IoT environments. Chapter 15. Edge Intelligence based Data Analytics for Vehicular Communication Networks


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Product Details
  • ISBN-13: 9781040434680
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Language: English
  • ISBN-10: 1040434681
  • Publisher Date: 29 Sep 2025
  • Binding: Digital (delivered electronically)


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