Chapter 1.Edge Intelligence for IoT: Architecture, Issues, and ApplicationsChapter 2.Edge Intelligence based Internet of Medical Things: Architecture, Issues, andCase StudiesChapter 3.Edge Intelligence based Intrusion Detection and Avoidance Framework forIoT NetworkChapter 4.Edge Intelligence based Anomaly Detection for IoT NetworkChapter 5.Edge Intelligence based Intelligent Transportation SystemChapter 6.Edge Intelligence and IoT-based Smart Agriculture SystemChapter 7.Edge Intelligence and Privacy Preservation Aware Intelligent Cyber ThreatsDetection ModelChapter 8.Edge Intelligence and Deep Learning Approaches based data analytics forFog-enabled IoT NetworkChapter 9.Edge Intelligence and Federated Learning based Healthcare Data AnalyticsChapter 10.Edge Intelligence and Deep Reinforcement Learning based Big Data Analyticsfor IoT SystemChapter 11.Edge Intelligence and Privacy-aware Threat Intelligence for Fog-enabled IoTNetwork using big data approaches.Chapter 12.Edge Intelligence and Blockchain-based security architecture for Fog-enabledIoT SystemsChapter 13.Blockchain and Edge Intelligence based forensic evidence preservation inFog-enabled IoT SystemsChapter 14.Edge Intelligence based Botnet detection in Fog-enabled IoT environments.Chapter 15.Edge Intelligence based Data Analytics for Vehicular CommunicationNetworks
In this book, we will provide an overview of the fundamental concepts of Edge Computing, Edge intelligence using advanced machine and deep learning models, architecture of Edge computing based IoT system, and edge computing based cyber threat intelligence solutions for IoT systems.
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 intelligenceenabled IoT systl“$