With the advent of smart homes, smart cities, and smart everything, the Internet of Things (IoT) has emerged as an area of incredible impact, potential, and growth. Billions of intelligent IoT devices (embedded with electronics, software, sensors, actuators, and network connectivity) collect data through wireless technology and are able to interoperate within the existing internet infrastructure.

However, the large-scale deployment of the IoT is causing rapidly increasing major security concerns. On the one hand, most of these intelligent IoT devices are easy to hack and compromise, as typically these devices are limited in computing, storage, and network capacity, and are therefore more vulnerable to attacks than other endpoint devices such as smartphones, tablets, or computers. On the other hand, the increasingly invisible, dense, and pervasive collection, processing, and dissemination of data in the midst of people’s private lives gives rise to serious security and privacy concerns.

The goal of this Special Issue is to solicit high quality research articles addressing key challenges and state-of-the-art solutions for security and privacy issues of intelligent IoT devices. We aim to enhance our understanding of a broad range of topics and specialties in security and privacy for intelligent IoT devices, from fundamentals and theories to practical aspects. Original research as well as high-quality review articles are all welcome.

Potential topics include but are not limited to the following:

• IoT operating system security
• IoT malicious code defence technology
• IoT system and firmware security update technology
• Vulnerability mining technology for intelligent IoT devices
• Trust issues in intelligent IoT devices
• Intelligent IoT device testing framework
• Physical security of intelligent IoT devices
• Software and hardware attacks for intelligent IoT devices
• Run-time protection technology for intelligent IoT devices
• Intelligent care security and privacy
• Artificial intelligence-enabled counter measures in IoT security
• Secure machine learning technique for IoT data analysis
• Blockchains and smart contracts for IoT
• Efficient cryptography for intelligent IoT devices
• Secure data integrity and validation techniques for intelligent IoT devices
• Remote attestation for intelligent IoT devices
• Security threat detection theories and technologies for intelligent IoT devices
• New privacy challenges in intelligent IoT devices