Название: Security Framework for The Internet of Things Applications
Автор: Salma Abdalla Hamad, Quan Z. Sheng, Wei Emma Zhang
Издательство: CRC Press
Год: 2024
Страниц: 153
Язык: английский
Формат: pdf (true)
Размер: 11.9 MB
The text highlights a comprehensive survey that focuses on all security aspects and challenges facing the Internet of Things systems, including outsourcing techniques for partial computations on edge or cloud while presenting case studies to map security challenges. It further covers three security aspects including Internet of Things device identification and authentication, network traffic intrusion detection, and executable malware files detection. Industrial Internal of Things (IIoT) products and services collect a large amount of data including those related to users. This collected data are stored either locally on the smart devices or in the cloud. Although Internet of Things (IoT) expansions promise enormous benefits in productivity and efficiency, these devices often lack the security requirements we have become used to in the domain of desktops and server computing. Therefore, processing such large-scale IoT data can also lead to many security issues such as intrusion attacks, data leakage, user privacy, and traceability. This book presents substantial contributions to research on building a scalable, real-time IoT security framework. This book provides several novel strategies for identifying and authenticating devices, detecting network-known and zero-day attacks against IoT devices, and detecting malware executables targeting IoT and embedded systems. In this book, we consider three security aspects: IoT device identification and authentication, network traffic intrusion detection, and executable malware file detection.
Автор: Salma Abdalla Hamad, Quan Z. Sheng, Wei Emma Zhang
Издательство: CRC Press
Год: 2024
Страниц: 153
Язык: английский
Формат: pdf (true)
Размер: 11.9 MB
The text highlights a comprehensive survey that focuses on all security aspects and challenges facing the Internet of Things systems, including outsourcing techniques for partial computations on edge or cloud while presenting case studies to map security challenges. It further covers three security aspects including Internet of Things device identification and authentication, network traffic intrusion detection, and executable malware files detection. Industrial Internal of Things (IIoT) products and services collect a large amount of data including those related to users. This collected data are stored either locally on the smart devices or in the cloud. Although Internet of Things (IoT) expansions promise enormous benefits in productivity and efficiency, these devices often lack the security requirements we have become used to in the domain of desktops and server computing. Therefore, processing such large-scale IoT data can also lead to many security issues such as intrusion attacks, data leakage, user privacy, and traceability. This book presents substantial contributions to research on building a scalable, real-time IoT security framework. This book provides several novel strategies for identifying and authenticating devices, detecting network-known and zero-day attacks against IoT devices, and detecting malware executables targeting IoT and embedded systems. In this book, we consider three security aspects: IoT device identification and authentication, network traffic intrusion detection, and executable malware file detection.