Author Description

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 w