Guest Editors
Dr. Muhammad Asghar khan, Hamdard University, Pakistan.
Dr. Shehzad Ashraf Chaudhry, Istanbul Gelisim University, Turkey.
Dr. Mohammed H. Alsharif, Sejong University, South Korea.
Summary
Internet of Things (IoT) can be linked to a sixth-generation (6G) mobile network, which offers not only traditional communication services but also computing, caching, sensing, and control facilities to a large number of IoT devices on a global scale. Moreover, IoT may use artificial intelligence (AI) to deliver smart services at the network edge and to improve the operation and performance of terrestrial communication infrastructure. The use of AI in IoT networks will also help in the measurement and collection of data from the domain of interest with high precision. Therefore, more smart devices will be incorporated into 6G networks as IoT grows, creating massive amounts of real-time data. However, security and privacy concerns may emerge when the measurement and collecting of data expand as a result of the deployment of a large number of IoT devices.
The aim of this Special Issue is to bring together original research and review articles discussing the security and intelligence in IoT networks over 6G. Researchers around the world are encouraged to propose cutting-edge technologies such as artificial intelligence (AI)/machine learning (ML), quantum machine learning (QML), blockchain, terahertz (THz) communication, fog/edge computing, visible light communication (VLC), and so on, for the IoT communication networks.
Potential topics include but are not limited to:
• Security and privacy issues for 6G enabled IoT Networks
• Integrating intelligent sensing mechanism in IoT over 6G
• Blockchain-based security protocols for 6G enabled IoT Networks
• Novel frameworks and algorithms based on existing and upcoming technologies to enhance the scalability and security for 6G enabled IoT Networks
• Machine learning algorithms for intelligent sensing in 6G enabled IoT Networks
• Cloud, fog, and edge computing architecture for 6G enabled IoT Networks
• Advanced intelligent big data analytics in 6G enabled IoT Networks
• Artificial intelligence techniques for data security and privacy for 6G enabled IoT Networks
• Reinforcement-Learning based intelligent applications in 6G enabled IoT Networks
• Federated learning for 6G enabled IoT Networks
Keywords
IoT,6G,Security,AI,Machine Learning
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