Data-Driven Mining, Learning and Analytics for Secured Smart Cities [E-Book] : Trends and Advances / edited by Chinmay Chakraborty, Jerry Chun-Wei Lin, Mamoun Alazab
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, servi...
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Full text |
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| Personal Name(s): | Alazab, Mamoun, editor |
| Chakraborty, Chinmay, editor / Lin, Jerry Chun-Wei, editor | |
| Edition: |
1st edition 2021. |
| Imprint: |
Cham :
Springer,
2021
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| Physical Description: |
X, 383 pages 93 illustrations, 74 illustrations in color (online resource) |
| Note: |
englisch |
| ISBN: |
9783030721398 |
| DOI: |
10.1007/978-3-030-72139-8 |
| Series Title: |
Advanced Sciences and Technologies for Security Applications
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| Subject (LOC): |
- 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.