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Full Description
Edge computing and intelligence is a new technical discipline that researches and develops theories, methods, technologies, and application systems for enabling fast and efficient processing and intelligent decision-making using the big data generated from the Internet of Things (IoT) system. The edge computing and intelligence-enabled IoT system helps in alleviating the resource limitations of IoT devices and facilitates large-scale deployment of IoT systems for different applications such as smart cities, smart grids, smart homes, smart healthcare systems, smart video surveillance, and e-healthcare.
Due to the deployment of the IoT devices in the open environment and their interaction with other IoT devices through unstable and unreliable wireless channels, as well as the placement of edge nodes near IoT systems, IoT devices offer many chances for malicious attackers to compromise them through collusion attacks, denial-of-service attacks, and many other types of attacks. Analysis of the network traffic and IoT data at the edge nodes using the latest artificial intelligence techniques will address a number of issues, such as anomaly detection in IoT data, data poisoning attacks, and other security and privacy issues related to IoT systems. In this book, we will provide an overview of the fundamental concepts of edge computing, edge intelligence using advanced machine- and deep-learning models, the architecture of edge computing-based IoT systems, and edge computing-based cyber threat intelligence solutions for IoT systems.
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
