
Edge Intelligence and Analytics for Internet of Things
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Edge Intelligence and Analytics for Internet of Things
About this book
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 intelligenceāenabled 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 computingābased IoT systems, and edge computingābased cyber threat intelligence solutions for IoT systems.
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Information
Table of contents
- Cover
- Half Title
- Title
- Copyright
- Contents
- Preface
- About the editors
- List of contributors
- 1 Edge analytics methods and algorithms
- 2 Introduction to edge computing and IoT
- 3 Foundations of edge intelligence
- 4 Communication technologies for edge IoT
- 5 Advanced machine learning and artificial intelligence techniques at the edge
- 6 Blockchain-enabled edge intelligence for IoT
- 7 Smart systems powered by IoT with edge computing
- 8 Edge intelligenceābased social robotics: planning and its applications
- 9 Federated learningābased edge intelligence for IoT
- 10 Deep learningābased edge intelligence for IoT system
- 11 Hybrid deep learningābased edge intelligence and analytics
- 12 A multifaceted approach to security in edge IoT: threats, solutions, and future perspectives
- 13 Case study: developing edge intelligence in electric vehicles
- 14 Scalability and reliability issues for edge intelligence: challenges and future directions
- Index