Edge Intelligence and Analytics for Internet of Things

<p>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.</p><p>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.</p>