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Cybersecurity for Smart Cities Practices and Challenges

Title
Cybersecurity for Smart Cities [electronic resource] : Practices and Challenges / edited by Mohiuddin Ahmed, Paul Haskell-Dowland.
ISBN
9783031249464
Edition
1st ed. 2023.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2023.
Physical Description
1 online resource (XII, 204 p.) 30 illus., 21 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
Ensuring cybersecurity for smart cities is crucial for a sustainable cyber ecosystem. Given the undeniable complexity of smart cities, fundamental issues such as device configurations and software updates should be addressed when it is most needed to fight cyber-crime and ensure data privacy. This book addresses the cybersecurity challenges associated with smart cities, aiming to provide a bigger picture of the concepts, intelligent techniques, practices and research directions in this area. Furthermore, this book serves as a single source of reference for acquiring knowledge on the technology, processes and people involved in the next-generation of cyber-smart cities.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
April 05, 2023
Series
Advanced Sciences and Technologies for Security Applications,
Advanced Sciences and Technologies for Security Applications,
Contents
1. Investigation on the infusion of Cybersecurity and Smart City
2. Cyberbullying and social media
3. Pivoting Human Resource Policy Around Emerging Invasive and Non-Invasive Neurotechnology
4. Privacy and Ethics in a Smart City: Towards Attaining Digital Sovereignty
5. Knowledge Organization Systems to Support Cyber-Resilience in Medical Smart Home Environments
6. Cybersafe Capabilities and Utilities for Smart Cities
7. Cyber Safe Data Repositories
8. Misinformation Detection in Cyber Smart Cities
9. Vehicle Trajectory Obfuscation and Detection
10. The contribution of deep learning for future smart cities.
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