Big data privacy and security in smart cities/ Richard Jiang, Ahmed Bouridane, Chang-Tsun Li, Danny Crookes, Said Boussakta, Feng Hao, Eran A. Edirisinghe, editors.
Jiang, Richard, editor.; Bouridane, Ahmed, editor.; Li, Chang-Tsun, editor.; Crookes, Danny, editor.; Boussakta, Said, editor.; Hao, Feng, editor.; Edirisinghe, Eran A. editor.
2022
QA76.9.B45
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Big data privacy and security in smart cities/ Richard Jiang, Ahmed Bouridane, Chang-Tsun Li, Danny Crookes, Said Boussakta, Feng Hao, Eran A. Edirisinghe, editors.
ISBN 9783031044243 (electronic bk.)
303104424X (electronic bk.)
3031044231
9783031044236
DOI https://doi.org/10.1007/978-3-031-04424-3
Publication Details Cham : Springer, 2022.
Language English
Description 1 online resource.
Item Number 10.1007/978-3-031-04424-3 doi
Call Number QA76.9.B45
Dewey Decimal Classification 005.7
Summary This book highlights recent advances in smart cities technologies, with a focus on new technologies such as biometrics, blockchains, data encryption, data mining, machine learning, deep learning, cloud security, and mobile security. During the past five years, digital cities have been emerging as a technology reality that will come to dominate the usual life of people, in either developed or developing countries. Particularly, with big data issues from smart cities, privacy and security have been a widely concerned matter due to its relevance and sensitivity extensively present in cybersecurity, healthcare, medical service, e-commercial, e-governance, mobile banking, e-finance, digital twins, and so on. These new topics rises up with the era of smart cities and mostly associate with public sectors, which are vital to the modern life of people. This volume summarizes the recent advances in addressing the challenges on big data privacy and security in smart cities and points out the future research direction around this new challenging topic.
Bibliography, etc. Note References -- Predictive Maintenance of Vehicle Fleets Using LSTM Autoencoders for Industrial IoT Datasets -- 1 Introduction -- 2 Related Work -- 3 Computational Method -- 3.1 Datasets -- 3.2 LSTM Autoencoder for Predictive Maintenance -- 4 Experiments and Results -- 5 Conclusion -- References -- A Comparative Study on the User Experience on Using Secure Messaging Tools -- 1 Introduction -- 2 Literature Review -- 2.1 User Experience Research -- 2.2 Obstacles to the Adoption of Secure Communication Tools -- 2.3 Previous Email Encryption Studies -- 3 Problem Statement -- 4 Research Methodology
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Jiang, Richard, editor.
Bouridane, Ahmed, editor.
Li, Chang-Tsun, editor.
Crookes, Danny, editor.
Boussakta, Said, editor.
Hao, Feng, editor.
Edirisinghe, Eran A. editor.
Series Advanced sciences and technologies for security applications.
Available in Other Form Print version: 9783031044236
BIG DATA PRIVACY AND SECURITY IN SMART CITIES.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
1. Introduction
2. Deep Digital Identity for Big Data Privacy and Security
3. Behavioral Biometrics for Security in Smart Cities
4. Identity Spoofing and Cyber Attacks
5. Intrusion Detection via Deep Learning
6. Biometric Blockchain in e-Governance
7. e-Voting and Transparent Democracy
8. Secured e-Trading with Blockchain
9. Healthcare Biometric Blockchain
10. Medical Data and Security
11. Digital Passport
12. Social Smart Cities
13. Forensics and Legislation
14. Soft Border Control with Digital IDs.

Browse Subjects

Show more subjects...

Statistics

from
to
Export