IoT United

VIP ChallENG research goals

We’ll take a holistic view of the smart ecosystem and work towards creating a centralised smart services integrator to manage all the diverse services. The research challenges that must be addressed as part of this project include:

Algorithmic contributions

This theme will explore efficient algorithms to manage the following tasks using futuristic technologies such as federated learning, micro-services modular architecture and AI-driven decision making:   

• Access policies and rules management 
• Anomaly detection and response 
• Device configuration profiling and management 
• Privacy-preserving data sharing with other integrators
• Vulnerability analysis and response  

Hardware based implementation

In this theme, the algorithms and system design for the smart services integrator will be implemented and benchmarked on real-world commodity hardware to leverage the low cost, high performance and trustworthiness offered by such hardware implementation.

Research, design or technical ChallENG

• Automatic profiling of IoT devices 
• Intelligent policy and configuration management for heterogeneous IoT devices 
• Anomaly detection and response based on AI and machine learning 
• Vulnerability identification and automatic response 
• Data visualisation and representation 
• Privacy-preserving data sharing e.g., privacy-preserving federated learning framework 
• Data privacy/private information leakage 
• Design of hardware-based services integrator 
• Design optimisation of the necessary hardware 
• Benchmarking the performance of various algorithms 

Desired Background

All degrees are welcome however, students specialising in the below areas are encouraged to apply.