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Smart Cities: Blockchain-Based Systems, Networks, and Data [Kõva köide]

(Uni. Science/Tech, China), (Uni. Science/Tech, China), (Uni. Science/Tech, China), (Uni. Science/Tech, China)
  • Formaat: Hardback, 229 pages, kõrgus x laius: 234x156 mm, kaal: 620 g, 3 Tables, black and white; 12 Line drawings, color; 9 Line drawings, black and white; 26 Halftones, color; 3 Halftones, black and white; 50 Illustrations, black and white
  • Ilmumisaeg: 18-Oct-2022
  • Kirjastus: CRC Press
  • ISBN-10: 1032265574
  • ISBN-13: 9781032265575
  • Formaat: Hardback, 229 pages, kõrgus x laius: 234x156 mm, kaal: 620 g, 3 Tables, black and white; 12 Line drawings, color; 9 Line drawings, black and white; 26 Halftones, color; 3 Halftones, black and white; 50 Illustrations, black and white
  • Ilmumisaeg: 18-Oct-2022
  • Kirjastus: CRC Press
  • ISBN-10: 1032265574
  • ISBN-13: 9781032265575
"Smart Cities: Blockchain-Based Systems, Networks, and Data examines the various components that make up a smart city. It focuses on infrastructure, processes, and services, and outlines approaches for services such as health, transport, energy, and more. With an underlying emphasis on blockchain networks, the authors examine ways to provide the management of resources and activities by creating a more secure and trustless operating systems where resources are more effectively allocated and managed"--

Smart Cities: Blockchain-Based Systems, Networks, and Data examines the various components that make up a smart city. It focuses on infrastructure, processes, and services, and outlines approaches for services such as health, transport, energy, and more. With an underlying emphasis on blockchain networks, the authors examine ways to provide the management of resources and activities by creating a more secure and trustless operating systems where resources are more effectively allocated and managed. This book is a practical and detailed demonstration for researchers and industry professionals who would use blockchain technology for effective city management.

Smart Cities: Blockchain-Based Systems, Networks, and Data examines the various components that make up a smart city and outlines approaches for services such as such as health, transport, energy, and others. It is a practical and detailed demonstration for professionals using blockchain technology for effective city management.
Preface xiii
Acknowledgment xv
Authors xvii
1 Introduction
1(8)
1.1 Approach to Development of Smart Cities
1(2)
1.2 Digital City Operating System - A Blockchain Perspective
3(3)
1.2.1 Users
3(1)
1.2.2 Applications
4(1)
1.2.3 Assistive Layer
5(1)
1.2.3.1 Blockchain Analytics Engine
5(1)
1.2.4 Hardware/Sensor Network
5(1)
1.3 Conclusion
6(3)
References
6(3)
2 Blockchain and Smart City Fundamentals
9(22)
2.1 Introduction
9(3)
2.1.1 Blocks
10(1)
2.1.2 Miners
10(1)
2.1.3 Nodes
10(1)
2.1.3.1 Types of Blockchain Nodes
11(1)
2.1.3.2 Blockchain Nodes Security
11(1)
2.2 Fundamentals of Blockchain
12(6)
2.2.1 The Blockchain's Cryptography
12(1)
2.2.2 Hash Functions
12(1)
2.2.3 Public Key Cryptography
13(1)
2.2.4 Blockchain Construction
13(1)
2.2.5 Chaining
14(1)
2.2.6 Blockchain Networks
14(1)
2.2.7 Blockchain Peer-to-Peer Network
14(1)
2.2.8 Blockchain Consensus
15(1)
2.2.9 Fundamentals of Consensus
15(1)
2.2.10 Consensus Implementation
16(1)
2.2.11 Proof of Work
16(1)
2.2.12 Proof of Stake
17(1)
2.2.13 Consensus Attacks
17(1)
2.3 Permissionless vs. Permissioned Blockchains
18(1)
2.3.1 Types of Blockchains
18(1)
2.4 Smart Contracts
19(3)
2.4.1 Introduction to Smart Contracts
19(1)
2.4.2 Smart Contracts Working Principle
20(1)
2.4.3 Examples of Smart Contracts
20(1)
2.4.4 Uses of Smart Contracts
21(1)
2.4.5 Advantages of Smart Contracts
21(1)
2.4.6 Limitations of Smart Contracts
22(1)
2.5 Blockchain Applications
22(2)
2.6 Smart City and Blockchain Technology
24(1)
2.7 Application of Blockchain in Smart Cities
25(1)
2.8 Conclusion
26(5)
References
27(4)
3 Infrastructure
31(14)
3.1 Introduction
31(1)
3.2 Smart City Infrastructure
31(2)
3.2.1 Sub-Division of Smart City Infrastructure
32(1)
3.3 Interoperability
33(2)
3.3.1 Interoperability Issues
33(1)
3.3.2 Smart City Infrastructural Services
34(1)
3.4 Infrastructural Design
35(2)
3.4.1 Smart Homes
36(1)
3.4.2 Waste Management
36(1)
3.4.3 Rainwater Distribution
36(1)
3.5 A Blockchain-Enabled Smart City Infrastructure
37(8)
3.5.1 Blockchain-Enabled Infrastructure-Focused Approach
37(1)
3.5.2 Blockchain-Supported Smart City Platforms
38(1)
3.5.3 Blockchain-Controlled Smart City Infrastructural Regulations
39(1)
3.5.4 Blockchain Unit
40(1)
3.5.5 Analytic Platform
40(1)
3.5.6 Smart City Control Center
41(1)
3.5.7 IoT Connection
41(1)
3.5.8 Data Integration Platform
41(1)
3.5.9 Data Type Aggregation Center and Transmission
41(1)
3.5.10 Infrastructure Security Consideration
41(1)
References
42(3)
4 Identities
45(10)
4.1 Introduction
45(1)
4.2 Digital Identities
46(1)
4.3 Digital Identity Life Cycle
47(1)
4.4 Life Cycle Management
47(1)
4.5 Identity Evolution
47(1)
4.6 How Does the Digital Identity Work?
48(1)
4.6.1 For Companies
48(1)
4.6.2 For IoT Devices
48(1)
4.6.3 For Individuals
48(1)
4.7 The Need for Blockchain-Based Identities
49(1)
4.7.1 Inaccessibility
49(1)
4.7.2 Data Insecurity
49(1)
4.7.3 Fraudulent Identities
49(1)
4.8 Decentralized Digital Identities
50(1)
4.8.1 The Creation of a Digital Identity
50(1)
4.8.2 Decentralized Identifier
50(1)
4.8.3 Security of Decentralized Identities
50(1)
4.8.4 The Use of Decentralized Identities
51(1)
4.9 The Use of Blockchain in Managing Identities
51(1)
4.9.1 Self-Sovereign Identity
51(1)
4.9.2 Data Monetization
51(1)
4.9.3 Data Portability
51(1)
4.10 People
52(1)
4.11 Conclusion
52(3)
References
52(3)
5 Supply Chain
55(28)
5.1 Introduction
55(1)
5.2 Blockchain in Supply Chain Framework
56(8)
5.2.1 A Blockchain-Enabled Supply Chain Architecture for Smart Cities
60(1)
5.2.2 Good Processing
61(1)
5.2.3 Verification
61(1)
5.2.4 Considerations
62(2)
5.2.5 Operational Requirement
64(1)
5.3 Multi-Transporters
64(4)
5.3.1 Multi-Transporters Design
65(1)
5.3.2 The Seller
65(2)
5.3.3 Signing and Terms and Conditions
67(1)
5.3.4 Cancellation and Funding
67(1)
5.3.5 Expected Delivery Time
68(1)
5.3.6 Payment Settlement
68(1)
5.4 Supply Chain Equilibrium on a Game-Theory-Incentivized Blockchain Network
68(4)
5.4.1 A Game-Theory-Based Supply Chain
70(1)
5.4.2 Iterated Prisoners Dilemma
70(1)
5.4.3 Repeated Games
70(1)
5.4.4 Markov Decision Process
71(1)
5.4.5 Stackelberg Model
72(1)
5.5 Game-Theory-Incentivized Blockchain-Based Network Overview
72(7)
5.5.1 Game Theory Analysis
76(1)
5.5.2 Transparency
77(1)
5.5.3 State Change
78(1)
5.5.4 Infinite Games
79(1)
5.5.5 Establishing Nash Equilibrium
79(1)
5.6 Conclusions
79(4)
References
80(3)
6 Smart Transportation
83(30)
6.1 Introduction
83(1)
6.2 Framework for Transportation
83(3)
6.3 Mobility as a Service
86(1)
6.4 General Structure of MaaS
86(3)
6.4.1 Ensuring Confidentiality
87(1)
6.4.2 Cryptographic Schemes
87(1)
6.4.3 Vulnerabilities of Smart Contracts
88(1)
6.4.4 Vital Role
88(1)
6.4.5 Impact
89(1)
6.5 Incentive for Intelligent Transport Systems
89(2)
6.5.1 Proposition of Ideas
91(1)
6.6 Blockchain in Vehicular Systems
91(3)
6.6.1 Blockchain in Information Sharing for Transportation Systems
92(1)
6.6.2 Blockchain in Vehicular Consensus Processing
93(1)
6.7 VANET
94(3)
6.7.1 The Internet of Vehicles (IoV)
95(1)
6.7.2 Software Defined Networking (SDN)
96(1)
6.8 Blockchain-SDN IoV Design
97(5)
6.9 Certificate Issuance and Revocation
102(7)
6.9.1 Certificate Issuance and Revocation
102(1)
6.9.2 Communication Model
103(3)
6.9.3 Network Trust Model
106(3)
6.10 Conclusion
109(4)
References
109(4)
7 Smart Health
113(10)
7.1 Introduction
113(2)
7.2 Preliminaries
115(1)
7.2.1 Cryptographic Keys
115(1)
7.2.2 Smart Contracts
115(1)
7.3 System Design
116(2)
7.4 Construction
118(1)
7.5 Conclusion
119(4)
References
120(3)
8 Smart City Contracting
123(36)
8.1 Introduction
123(8)
8.1.1 Incentive Theory
126(1)
8.1.2 Transaction Cost Theory
126(1)
8.1.3 Contracting
127(1)
8.1.4 Contract Duration
128(1)
8.1.5 Decision Trees
128(3)
8.2 Contract Setup for Multiple Organizations
131(9)
8.2.1 Registration
132(1)
8.2.2 Recruitment
132(2)
8.2.3 Outsource
134(1)
8.2.4 Subcontracting
135(1)
8.2.5 Negotiation
136(2)
8.2.6 Managing Trading Unions
138(2)
8.3 Dispute Resolution on the Blockchain
140(6)
8.3.1 Mediation
140(2)
8.3.2 Multi-Arbitration and Multi-Contracting Arbitration
142(1)
8.3.3 Arbitration Scheme
142(3)
8.3.4 Arbitration Calls
145(1)
8.4 Sub-Contract Procedure Mechanisms
146(3)
8.4.1 Contract-Contract Consolidation
146(1)
8.4.2 Arbitration-Arbitration Consolidation
146(1)
8.4.3 Sub-Arbitration
147(1)
8.4.4 Invitation
148(1)
8.4.5 Dispute Negotiation
148(1)
8.4.6 Blockchain-Based Arbitrators
149(1)
8.4.7 Arbitration Appeal
149(1)
8.5 Internal Contracting Considerations
149(2)
8.5.1 Security
149(1)
8.5.2 General Contract Design
150(1)
8.5.3 Contract Termination
150(1)
8.6 Contract Analysis
151(4)
8.6.1 Post-Facto
151(1)
8.6.2 Interaction between Contracting Parties
152(1)
8.6.3 Allocating Decision Rights between Contracting Parties
153(1)
8.6.4 No Leverage Constraints between Both Party A and Party B
154(1)
8.6.5 Leverage Constraints
154(1)
8.7 Conclusion
155(4)
References
155(4)
9 Smart Energy
159(20)
9.1 Introduction
159(2)
9.2 Preliminaries
161(5)
9.2.1 Blockchain
161(1)
9.2.2 Smart Meter
162(1)
9.2.3 Internet of Things
162(2)
9.2.4 Smart Contracts
164(1)
9.2.5 Smart Grid vs. Traditional Grids
164(1)
9.2.6 Cryptographic Keys
165(1)
9.3 System Design
166(3)
9.3.1 Initials
166(1)
9.3.2 User Layer
167(1)
9.3.3 Data Processing and Monitoring Layer
168(1)
9.3.4 Registration and Authentication Center
168(1)
9.3.5 Processing and Consensus Nodes
168(1)
9.3.6 Smart Contract Center
169(1)
9.3.7 Energy Production and Data Storage Center
169(1)
9.4 Data Flow on the Entire System Description
169(3)
9.5 Smart Contract Design
172(1)
9.6 Blockchain Design (Secureness of the System)
173(2)
9.6.1 Parent Block Structure
173(1)
9.6.2 Side Block Structure
174(1)
9.7 Conclusion
175(4)
References
176(3)
10 Tokenization of Energy Systems
179(32)
10.1 Introduction
179(5)
10.1.1 NRE/RE Tokenized Blockchain-Based Energy Contracting
182(1)
10.1.2 Tokenized Systems
182(1)
10.1.3 Automated Market Makers
183(1)
10.2 Proposed Solution
184(8)
10.2.1 Registration
184(2)
10.2.2 Setup
186(1)
10.2.3 Proposed Smart City Module
187(3)
10.2.4 Blockchain-Based Monitoring of NRE/RE Ecosystem
190(1)
10.2.5 Tracking of Energy Generated
190(1)
40.2.6 Decarbonization within NRE Ecosystems
191(1)
10.3 Proposed Decarbonization Functional Procedure
192(8)
10.3.1 Design of Proposed NRE/RE Decarbonization Contract
192(2)
10.3.2 Proposed Blockchain-Based Energy Market
194(2)
10.3.3 Token Generation
196(1)
10.3.4 Energy Funders
197(2)
10.3.5 Bidding on Energy Token Type
199(1)
10.3.6 Blockchain-Based Energy Market Token Pairing
199(1)
10.3.7 Rebalancing of Tokens Generated
200(1)
10.4 Energy Trading
200(9)
10.4.1 NRE/RE Energy Market Trading
201(1)
10.4.2 InterEnergy Type Token Request and Transaction
202(1)
10.4.3 Feasibility of Energy Exchange Across Energy Markets
203(1)
10.4.4 Energy Storage and Supply for Trading
204(1)
10.4.5 Negotiation Analysis between RE/NRE Buyer and Supplier
205(1)
10.4.6 Energy Token-Price Fluctuation Analysis
206(3)
10.5 Conclusion
209(2)
References
209(2)
11 Smart City Governance
211(10)
11.1 Introduction
211(1)
11.2 Urban City Challenges
211(4)
11.2.1 Governance Challenges
211(1)
11.2.2 Economic Challenges
212(1)
11.2.3 Mobility Challenges
213(1)
11.2.4 Pollution
214(1)
11.2.5 People Challenges
214(1)
11.3 Blockchain
215(1)
11.4 The Role of Blockchain in City Governance
216(3)
11.4.1 Citizenship and Democracy
217(1)
11.4.2 Asset and Land Usage
217(1)
11.4.3 Infrastructure and Services
217(1)
11.4.4 Ecosystems of Values
218(1)
11.4.5 Government and Public Tenders
218(1)
11.5 Conclusion
219(2)
References
219(2)
Index 221
Jianbin Gao is an associate professor at the University of Electronic Science and Technology of China (UESTC). He serves as the PI of the National Key Research and Development Program of China in Cyber Security and has overseen the completion of more than 20 high profile projects. He has published over 30 academic papers in the last five years. Dr. Gao earned his PhD in computer science from the University Electronic Science and Technology of China in 2012. He was a visiting scholar at the University of Pennsylvania in US from 2009-2011 and from 2017-2018. His research interests include network security technology and its application, big data security, and blockchain technology and its applications.

Qi Xia is a professor at the University of Electronic Science and Technology of China (UESTC). She is currently the deputy director of the Cyberspace Security Research Centre, executive director of the Blockchain Research Institute, executive director of the Big Data Sharing and Security Engineering Laboratory of Sichuan province, member of the CCF blockchain committee, and chief scientist at Youe Data company limited. Dr. Xia serves as the PI of the National Key Research and Development Program of China in Cyber Security and has overseen the completion of more than 30 high-profile projects. She has published over 50 academic papers and won second place at the National Scientific and Technological Progress Awards in 2012. Dr. Xia earned her BSc, MSc, and PhD degrees in computer science from the University of Electronic Science and Technology of China (UESTC) in 2002, 2006, and 2010, respectively. She was a visiting scholar at the University of Pennsylvania, Philadelphia, US from 2013-2014. Her research interests include network security technology and its application, big data security, and blockchain technology and its applications.

Kwame Omono Asamoah earned his BSc in computer science from the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana in 2014. He earned his masters in computer science and technology from the University of Electronic Science and Technology of China, Chengdu in 2018, where he is currently pursuing his PhD in computer science and technology. His current research interests include blockchain technology and big data security

Bonsu Adjei-Arthur earned his BSc in information technology from University of Ghana, Ghana in 2017, and an MEng in computer science and technology from UESTC, China in 2020. He is currently pursuing his PhD in computer science and technology in UESTC. His research interests include blockchain technology and security and privacy.