User Behaviour Analysis and IoT Secure Applications in Smart City Context

This thesis is concerned with Smart Cities. Smart Cities are urban area that make use of Information and Communication Technologies (ICT) to enhance the quality of their services such as energy, transportation, safety and healthcare. One of the focus of research in Smart City Context is on optimizing resource consumption to reduce the overall costs and enhance the quality of living for their citizens. The purpose of this thesis is firstly to study and develop algorithms and systems for user behaviour analysis in a Smart City context, in order to realize an User Engagement platform. The implemented tools can be employed by City Operators to understand human behavior, predict common patters, evaluate citizen-related measures and policies and create a communication channel between governors and users to promote virtuous behaviors in respect of the Smart City resources. The second purpose of this thesis is to study and develop algorithms and systems to implement a secure environment GDPR compliant where applications for Smart City can be designed and executed. User privacy and security are taken strongly into account by design and by default due to the nature of the exchanged data, that can be highly personal and sensitive.