Data driven mining learning and analytics for secured smart cities : trends and advances 1. Smart City Ecosystem – An Introduction 2. Datafication for secured smart cities 3. Secured big data infrastructure services 4. Intelligent infrastructure of secured smart cities 5. Cyber physical systems for secured smart cities 6. Blockchain for smart cities 7. Context aware security and privacy of smart cities 7. Privacy and social Issues in smart cities 8. Sensor and RFID applications of smart cities 9. Advanced data mining for secured smart cities 10. Big data for secured smart cities 11. Data analytics tools and technologies for smart cities 12. Machine learning and AI for secured smart cities. This book provides information on data driven infrastructure design analytical approaches and technological solutions with case studies for smart cities. This book aims to attract works on multidisciplinary research spanning across the computer science and engineering environmental studies services urban planning and development social sciences and industrial engineering on technologies case studies novel approaches and visionary ideas related to data driven innovative solutions and big data powered applications to cope with the real world challenges for building smart cities.