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Blockchain technology for data privacy management / edited by Sudhir Kumar Sharma [and four others].
- Format:
- Book
- Series:
- Advances in intelligent decision-making, systems engineering, and project management.
- Advances in Intelligent Decision-Making, Systems Engineering, and Project Management
- Language:
- English
- Subjects (All):
- Blockchains (Databases).
- Personal information management.
- Privacy, Right of.
- Physical Description:
- 1 online resource (331 pages).
- Edition:
- 1st ed.
- Place of Publication:
- Boca Raton, Florida ; London, England ; New York : CRC Press, [2021]
- Summary:
- This book sheds light on several aspects and facts on the use of blockchain technology in varied areas of interest. It provides a stepwise discussion, exhaustive literature survey, rigorous experimental analysis and discussions to demonstrate the usage of blockchain technology for securing communications.
- Contents:
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- List of Editors
- List of Contributors
- Chapter 1: Overview of the Internet of Things and Ubiquitous Computing
- 1.1 Introduction
- 1.2 Overview of Ubiquitous Computing
- 1.2.1 Technical Foundations
- 1.2.2 Characteristics of a Ubiquitous Computing Environment
- 1.3 Challenges and Issues Associated with Ubiquitous Computing
- 1.4 Fundamentals of the Internet of Things
- 1.4.1 Enabling Technologies of the IoT
- 1.5 Challenges and Issues of the IoT
- 1.5.1 Security Issues of the IoT
- 1.5.2 Security Requirements of the IoT
- 1.5.3 Categories of Security Issues
- 1.5.3.1 Low-Level Security Issues
- 1.5.3.2 Intermediate-Level Security Issues
- 1.5.3.3 High-Level Security Issues
- 1.6 The IoT's Impact on Ubiquitous Computing
- 1.7 Application Domains of Ubiquitous Computing
- 1.7.1 Ubiquitous Computing in Health Care
- 1.7.1.1 Ubiquitous Computing for Cardiac Patient Monitoring
- 1.7.1.2 Ubiquitous Computing for Cognitive Training and Assessment
- 1.7.1.3 Ubiquitous Computing for Rehabilitation Assessment
- 1.7.1.4 Behavior and Lifestyle Analysis
- 1.7.2 Ubiquitous Computing in Education
- 1.7.3 Ubiquitous Computing in Houses
- 1.7.4 Ubiquitous Computing for Transportation
- 1.7.5 Ubiquitous Computing in E-Commerce
- 1.7.6 Ubiquitous Computing in Environmental Control
- 1.8 Blockchain for IoT Security Enhancement
- 1.8.1 Blockchain Background
- 1.8.2 Potential Blockchain Solutions
- 1.9 Conclusion
- References
- Chapter 2: Case Study on Future Generation IoT: Secure Model for IoT-Based Systems-Health Care Example
- 2.1 Introduction
- 2.2 IoT Challenges
- 2.2.1 Security
- 2.2.2 Privacy
- 2.3 Review of Related Work
- 2.4 Existing IoT Security Models and Current Issues.
- 2.5 Secure Model for IoT-Based Systems: Health Care Example
- 2.5.1 IoT Case Study: Wearable Devices for Health Care
- 2.5.2 IoT Layers and Health Care System Model
- 2.5.3 AWS Platform
- 2.5.4 Enhanced AWSACIoT Model
- 2.6 Conclusion and Future Work
- Chapter 3: Spy-Bot: Controlling and Monitoring a Wi-Fi-Controlled Surveillance Robotic Car using Windows 10 IoT and Cloud Computing
- 3.1 Introduction
- 3.2 Background
- 3.2.1 Smart Parking Systems
- 3.2.2 Surveillance Systems
- 3.3 Spy-Bot: Wi-Fi Controlled Robotic Car
- 3.3.1 Block Diagram of Wi-Fi Controlled Robotic Car
- 3.3.2 Major Components Used
- 3.3.3 Raspberry Pi 2
- 3.3.4 Digital Web Camera
- 3.3.5 Geared DC Motor
- 3.3.6 Dual Full-Bridge L298N Driver
- 3.3.7 Ultrasonic Sensors
- 3.3.8 Microsoft Azure (Windows Cloud Platform)
- 3.4 Flow Diagram
- 3.5 Experimental Conditions
- 3.6 Results and Discussion
- 3.6.1 Hardware Implementation
- 3.6.2 Results
- 3.7 Conclusion
- 3.8 Future Development
- Chapter 4: Multi-Antenna Communication Security with Deep Learning Network and Internet of Things
- 4.1 Introduction: Background
- 4.2 Literature Survey
- 4.3 Internet of Things (IoT) with Multi-Antenna Beam
- 4.3.1 Radio Frequency Identification System (RFID)
- 4.3.2 Sensor Technology
- 4.3.3 Smart Technology
- 4.3.4 Nanotechnology
- 4.4 Deep Learning with Multi-Antenna Beam
- 4.5 Multi-Antenna Beam with the IoT and Deep Learning
- 4.6 Mathematical Background
- 4.7 Security Assessment
- 4.7.1 TCP Scan
- 4.7.2 SYN Scan
- 4.7.3 FIN Scan
- 4.8 Conclusion and Future Scope
- Chapter 5: Security Vulnerabilities, Challenges, and Schemes in IoT-Enabled Technologies
- 5.1 Introduction
- 5.2 IoT Architecture and Systemic Challenges
- 5.2.1 Sensing Layer: Introduction and Challenges in End-Nodes.
- 5.2.2 Threat Based on Network Layer
- 5.2.3 Service-Layer Based Threats
- 5.2.4 Application Interface Layer
- 5.2.5 Cross-Layer Challenges
- 5.3 Challenges and Associated Vulnerabilities in IoT-Enabled Technologies
- 5.3.1 Authentication- and Authorization-Related Challenges
- 5.3.2 Insecure Access Control
- 5.3.2.1 Role-Based Access Control Systems
- 5.3.2.2 Access Control List-Based Systems
- 5.3.2.3 Capability-Based Access
- 5.3.2.4 Challenges in Access Control
- 5.3.3 Physical Layer Security
- 5.3.4 Encryption Based on Transport of Data
- 5.3.4.1 TLS: Transport Layer Security
- 5.3.4.2 HTTPS
- 5.3.4.3 Transport Trust in IoT
- 5.3.5 Secure Cloud and Web Interface
- 5.3.6 Secure Software and Firmware
- 5.3.7 Estimating the Cost of a Cyber-Breach: Case Study on Intellectual Property Breach for the IoT
- 5.4 Existing Cyber-Attack Detection Software and Security Schemes
- 5.4.1 Conventional Cyber-Security Schemes
- 5.4.1.1 Access Control Technologies
- 5.4.1.2 System Integrity
- 5.4.1.3 Cryptography
- 5.4.1.4 Audit and Monitoring
- 5.4.1.5 Configuration Management and Assurance Tools
- 5.4.2 Embedded-Programming-Based
- 5.4.3 Agent-Based Approach
- 5.4.4 Software-Engineering- and Artificial-Intelligence-Based
- 5.5 Conclusion and Open Challenges
- Chapter 6: Advanced Security Using Blockchain and Distributed Ledger Technology
- 6.1 Introduction
- 6.2 Blockchain and Distributed Ledger Technology (DLT)
- 6.2.1 Blockchain Types
- 6.2.1.1 Permissionless Blockchain
- 6.2.1.2 Permissioned Blockchain
- 6.2.1.3 Hybrid Blockchain
- 6.2.1.4 Classification Scheme
- 6.2.1.5 Blockchain Mechanism
- 6.2.1.6 Cryptography
- 6.2.1.7 Peer-to-Peer Distributed Network
- 6.2.1.8 Smart Contracts
- 6.3 Structural Difference between Traditional Databases and Blockchain
- 6.3.1 Immutability of Blockchain.
- 6.3.2 Performance
- 6.3.3 Robustness and Disintermediation
- 6.3.4 Blockchain Technology as the Future of Cybersecurity
- 6.4 Future Trends of Blockchain
- 6.5 Blockchain beyond Bitcoin
- 6.6 Threat Management and Defense
- 6.7 Discussion
- 6.8 Conclusion
- Chapter 7: Blockchain Technology and Its Emerging Applications
- 7.1 Introduction
- 7.2 Terminology
- 7.2.1 Block
- 7.2.2 Chain
- 7.2.3 Blockchain Ledger
- 7.2.4 Node
- 7.2.5 Proof of Work
- 7.2.6 Key
- 7.2.7 Input
- 7.2.8 Output
- 7.2.9 Hash Function
- 7.3 History and Working of Blockchain Technology
- 7.3.1 History of Blockchain Technology
- 7.3.2 Working of Blockchain Technology
- 7.3.2.1 Cryptography of Private and Public Keys
- 7.3.2.2 Public Distributed Ledger (Peer-to-Peer Network)
- 7.3.2.3 Program or Protocol (Rules)
- 7.4 Types of Blockchain
- 7.4.1 Public Blockchain
- 7.4.2 Semiprivate Blockchain
- 7.4.3 Private Blockchain
- 7.4.4 Consortium Blockchain
- 7.5 Advantages and Disadvantages of Blockchain Technology
- 7.5.1 Key Characteristics/Advantages of Blockchain Technology
- 7.5.1.1 Decentralization
- 7.5.1.2 Immutability/Persistence
- 7.5.1.3 Higher Capacity
- 7.5.1.4 Higher Security
- 7.5.1.5 Anonymity
- 7.5.1.6 Auditability
- 7.5.1.7 Faster Processing
- 7.5.1.8 Cheaper Transactions
- 7.5.1.9 Transparency
- 7.5.2 Disadvantages of Blockchain Technology
- 7.5.2.1 Blockchain Technology Is New
- 7.5.2.2 Blockchain Technology Can Be Expensive
- 7.5.2.3 Blockchain Technology Is Unregulated
- 7.5.2.4 Security Risk
- 7.5.2.5 Technological Risk
- 7.6 Issues/Limitations of Blockchain Technology
- 7.6.1 Complexity
- 7.6.2 Necessity for Large Networks
- 7.6.3 Necessity of High-Quality Input
- 7.6.4 Security Flaw
- 7.6.5 Behavioral Change
- 7.6.6 Scaling
- 7.6.7 Bootstrapping
- 7.6.8 Government Regulations.
- 7.6.9 Fraudulent Activities
- 7.7 Applications of Blockchain Technology
- 7.7.1 Elections/Electronic Voting
- 7.7.2 Traditional Financial Institutions: Improvements
- 7.7.3 Health Care Technology
- 7.7.4 Cross-Border Payments/Remittance
- 7.7.5 Smart Contracts
- 7.7.6 Copyrighted Contents
- 7.7.7 Identity of Things
- 7.7.8 Internet of Things
- 7.8 Real-World Examples of Blockchain Technology Applications
- 7.8.1 Cybersecurity
- 7.8.1.1 GuardTime
- 7.8.1.2 REMME
- 7.8.2 Health Care
- 7.8.2.1 Gem
- 7.8.2.2 MedRec
- 7.8.2.3 SimplyVital Health
- 7.8.3 Financial Services
- 7.8.3.1 Abra
- 7.8.3.2 Bank Hapoalim
- 7.8.3.3 Barclays
- 7.8.3.4 Maersk
- 7.8.3.5 Aeternity
- 7.8.3.6 Augur
- 7.8.4 Manufacturing and Industrial Sectors
- 7.8.4.1 Provenance
- 7.8.4.2 JioCoin
- 7.8.4.3 Hijro
- 7.8.5 Governmental Services
- 7.8.5.1 Dubai
- 7.8.5.2 Estonia
- 7.8.5.3 South Korea
- 7.8.5.4 GovCoin
- 7.8.5.5 Followmyvote.com
- 7.8.6 Charity
- 7.8.7 Retail Services
- 7.8.7.1 OpenBazaar
- 7.8.7.2 Loyyal
- 7.8.8 Real Estate Services
- 7.8.9 Transportation and Tourism Sectors
- 7.8.9.1 IBM Blockchain Solution
- 7.8.9.2 Lazooz
- 7.8.10 Media Services
- 7.8.10.1 Kodak
- 7.8.10.2 Ujomusic
- 7.9 Conclusion
- Chapter 8: Emergence of Blockchain Technology: A Reliable and Secure Solution for IoT Systems
- 8.1 Introduction
- 8.2 Blockchain Methodology
- 8.2.1 Blockchain Characteristics
- 8.2.2 Digital Wallet
- 8.2.3 Block Structure
- 8.3 Types of Blockchain
- 8.3.1 Public Blockchain
- 8.3.2 Private Blockchain
- 8.3.3 Consortium Blockchain
- 8.3.4 Hybrid Blockchain
- 8.4 Consensus Algorithms
- 8.4.1 Proof of Work (PoW)
- 8.4.2 Proof of Stake (PoS)
- 8.4.3 Delegated Proof of Stake (DPoS)
- 8.4.4 Proof of Burn (PoB)
- 8.4.5 Practical Byzantine Fault Tolerance (PBFT)
- 8.4.6 Ripple.
- 8.5 Securing the IoT using Blockchain.
- Notes:
- Description based on print version record.
- ISBN:
- 1-000-36001-6
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