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.
2022
QA76.9.B45
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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
303104424X (electronic bk.)
3031044231
9783031044236
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
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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.
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.
BIG DATA PRIVACY AND SECURITY IN SMART CITIES.
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Table of Contents
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.
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.