Big data privacy and security in smart cities / editors, Richard Jiang [et al.]

Format
Book
Language
English
Published/​Created
  • Cham : Springer International Publishing AG, 2022.
  • ©2022.
Description
1 online resource (248 pages)

Details

Subject(s)
Related name
Series
Advanced sciences and technologies for security applications [More in this series]
Summary note
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
Source of description
Description based on publisher supplied metadata and other sources.
Contents
  • Intro
  • Contents
  • Smart Cities: A Survey of Tech-Induced Privacy Concerns
  • 1 Introduction
  • 2 Related Work
  • 2.1 Internet of Things (IoT)
  • 2.2 Big Data
  • 2.3 Information and Communication Technology (ICT)
  • 3 Smart Cities Technologies
  • 3.1 Smart Mobility and Transportation Technology
  • 3.2 Smart Energy Technology
  • 3.3 Smart Health Technology
  • 3.4 Smart Governance Technology
  • 4 Conclusion
  • References
  • Ethics of Face Recognition in Smart Cities Toward Trustworthy AI
  • 2 Representative Scene
  • 2.1 Demographic Aspect
  • 2.2 Smart-City Surveillance
  • 2.3 Facepay
  • 2.4 Face to DNA
  • 3 Relevant Laws or Regulations
  • 3.1 Related U.S. Laws and Regulations
  • 3.2 European Private Privacy Laws
  • 4 Proposal to Trustworthy
  • 4.1 Explainability
  • 4.2 Privacy
  • 4.3 Nondiscrimination &amp
  • Fairness
  • 4.4 Integrity
  • 4.5 Environmental Friendliness
  • 5 Conclusion
  • A Technical Review on Driverless Vehicle Technologies in Smart Cities
  • 2 Prospects and Challenges
  • 3 Architecture of Automated Driving Systems
  • 4 Sensors and Hardware
  • 5 Localization and Mapping
  • 6 Perception
  • 7 Planning and Decision Making
  • 8 Datasets
  • 9 Transportation in Smart City
  • 10 Deep Learning in Driverless Vehicles
  • 11 Driverless Vehicle Cases
  • 12 Conclusion
  • A Mechanism to Maintain Node Integrity in Decentralised Systems
  • 2 Related Study
  • 3 Proposed Mechanism
  • 4 Discussions and Future Development
  • 5 Conclusions
  • Incident Detection System for Industrial Networks
  • 2 Related Works
  • 3 Industrial Protocol Modbus/TCP
  • 4 Modbus/TCP Security Module
  • 4.1 Phase 1-Databases Approach
  • 4.2 Phase 2
  • 5 Graphical Visualization
  • 6 Conclusion
  • References.
  • Predictive Maintenance of Vehicle Fleets Using LSTM Autoencoders for Industrial IoT Datasets
  • 3 Computational Method
  • 3.1 Datasets
  • 3.2 LSTM Autoencoder for Predictive Maintenance
  • 4 Experiments and Results
  • A Comparative Study on the User Experience on Using Secure Messaging Tools
  • 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
  • 4.1 Heuristic Review for Thunderbird Email Client
  • 4.2 System Settings Versus App Settings
  • 5 Recommendations and Future Directions
  • 6 Conclusions
  • A Survey on AI-Enabled Pandemic Prediction and Prevention: What We Can Learn from COVID
  • 2 Prediction and Forecasting
  • 3 Screening and Treatment
  • 4 Contact Tracing
  • 5 Drugs and Vaccination
  • 6 Other AI Application of COVID-19
  • 7 Pandemic Prevention in Smart City
  • 8 Conclusion and Discussion
  • Blockchain Based Health Information Exchange Ecosystem: Usecase on Travellers
  • 3 Proposed Transformation Centered Around Smart Contract
  • 4 Discussion
  • Video-Based Heart Rate Detection: A Remote Healthcare Surveillance Tool for Smart Homecare
  • 2.1 Previous Research Which Use PPG/RIPPG
  • 2.2 Previous Research Which Use BCG
  • 2.3 Results from Previous Work
  • 3 Methodology
  • 3.1 Data Collection
  • 3.2 ROI Selection and Tracking
  • 3.3 Implementation of Tracking Algorithm
  • 3.4 Validity of Obtained Frequencies
  • 3.5 Noise Filtration
  • 3.6 Synchronising the Waveforms
  • 3.7 Estimating the Beats per Minute Using Peak FFT Analysis.
  • 3.8 Estimating Beats per Minute from the Number of Prominent Peaks in the Signal
  • 3.9 Detecting BPM Through Short-time Fourier Transform
  • 3.10 Generating ECG Like Signal
  • 4 Results
  • 4.1 From FFT Signal Analysis
  • 4.2 Short Time Fourier Analysis
  • 4.3 Generating ECG Like Signal
  • 5.1 Key Findings
  • 5.2 Limitations
  • 5.3 Future Research
  • A Survey on the Integration of Blockchain and IoT: Challenges and Opportunities
  • 3 An Overview of IoT and Blockchain
  • 3.1 Internet of Things (IoT)
  • 3.2 IoT Framework
  • 3.3 IoT Security Challenges
  • 3.4 IoT on Blockchain
  • 4 Blockchain Implementation in Different IoT Domain
  • 4.1 Internet of Energy (IoE)
  • 4.2 Internet of Vehicles
  • 4.3 Internet of Healthcare Things
  • 4.4 Access Management in IoT
  • 4.5 Authentication and Identity Management
  • 4.6 Fog Computing
  • 4.7 Internet of Agriculture
  • 4.8 Software-Defined Networking
  • 4.9 Internet of Smart Cities
  • 4.10 Intrusion Detection
  • 4.11 Internet of Cloud
  • 4.12 Blockchain for 5G
  • 5 Blockchain Limitations
  • 5.1 Scalability
  • 5.2 Throughput
  • 5.3 Energy Consumption
  • 5.4 Latency
  • 5.5 Block Size and Bandwidth Related Issues
  • 5.6 The Smart Contract Deployment Cost
  • 5.7 Usability
  • 5.8 Currently Introduced Solutions
  • 6 The Future Research Directions
  • 7 Conclusion
  • Quantum Bitcoin: The Intersection of Bitcoin, Quantum Computing and Blockchain
  • 1 Introduction: Background on Quantum Computing Meets Bitcoin
  • 2 What's Blockchain and Cryptocurrency
  • 3 A Brief Introduction to Quantum Computing
  • 4 Grover's Algorithm, Shor's Algorithm and Impact on Bitcoin
  • 5 Possible: Quantum Bitcoin
  • 6 Discussion
  • Biometric Blockchain (BBC) Based e-Passports for Smart Border Control
  • 1 Introduction.
  • 3 Preliminaries
  • 3.1 Blockchain
  • 3.2 Verifiable Credential and Decentralized Identifier
  • 4 The Proposed e-password System
  • 4.1 Main Entities
  • 4.2 Biometric Authentication
  • 4.3 System Modelling
  • 5 Implementations and Performance
ISBN
9783031044243 ((electronic bk.))
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage. Read more...
Other views
Staff view

Supplementary Information