📚︎ Connectivity, Security, and Privacy for IoT

• IoT architecture with 5G and beyond networks

• Multiple access IoT access networks and network backhaul with 5G and beyond

• Cooperative communication techniques for IoT

• Software defined networking solutions for IoT

• Efficient resource allocation schemes, QoS, and QoE in IoT

• Energy efficiency and wirelessly powered IoT

• Massive connectivity in IoT

• Critical and URLLC IoT

• IoT short range communications

• Blockchain solutions for IoT

• Cryptography, key management, authentication and authorization for IoT

• IoT privacy and security concerns tests, certification, and labelling

• IoT security of smart sustainable cities

• 6G-enabled IoTl

📚︎ Internet of Things Applications and Services

• IoT Big Data

• IoT Open Platform

• IoT Wearable Devices

• IoT Artificial Intelligence

• IoT-based Smart City Solutions

• IoT-based Smart Homes

• IoT-based Robots

• IoT Standards and Application Scenarios

• IoT-based Autonomous Driving

• IoT-based Smart Manufacturing

• IoT Artificial Intelligence

• Industrial IoT Applications

• IoT Data Mining Platforms

• Agricultural IoT Applications

• Open Service Platforms

• Environmental Monitoring

• IoT Semantic Services

• Intelligent Transportation

• Future IoT Open Topics

• IoT Testing Platforms and Deployment
  

📚︎Machine Learning and the Internet of Things

• Artificial Intelligence

• Machine Learning and Analytics

• Neural Networks

• Communications, Connectivity, and Networks

• Computing—From Edge to Cloud

• Cybersecurity, Security, and Privacy

• Infrastructure, Devices, and Components

• Information Processing from Multimedia and Heterogeneous Sources

• System Engineering, Integration Approaches, and Operational Techniques

• Theoretical Foundations, Design Methods, and Architectures

• Network Pattern Recognition and Classification

• Machine Learning for Network Slicing Optimization

• Machine Learning for 5G Systems

• Machine Learning for User Behavior Prediction

• Novel Innovator Learning Approaches

• Optimizing Machine Learning Methods

• Performance Analysis of Machine Learning Algorithms

• Experimental Evaluation of Machine Learning

• Data Mining in Heterogeneous Networks

• Machine Learning for Multimedia

• Machine Learning for the Internet of Things

• Security and Protection of Machine Learning

• Distributed and Decentralized Machine Learning Algorithms

• Data Analysis and Mining

• Pattern Recognition