Blockchain Technology for Data Privacy Management - Blockchain Technology for Data Privacy Management -

: Overview of the Internet of Things and Ubiquitous Computing Introduction Overview of Ubiquitous Computing Technical Foundations Characteristics of a Ubiquitous Computing Environment Challenges and Issues Associated with Ubiquitous Computing Fundamentals of the Internet of Things Enabling Technologies of the IoT Challenges and Issues of the IoT Security Issues of the IoT Security Requirements of the IoT Categories of Security Issues Low-Level Security Issues Intermediate-Level Security Issues High-Level Security Issues The IoT’s Impact on Ubiquitous Computing Application Domains of Ubiquitous Computing Ubiquitous Computing in Health Care Ubiquitous Computing for Cardiac Patient Monitoring Ubiquitous Computing for Cognitive Training and Assessment Ubiquitous Computing for Rehabilitation Assessment Behavior and Lifestyle Analysis Ubiquitous Computing in Education Ubiquitous Computing in Houses Ubiquitous Computing for Transportation Ubiquitous Computing in E-Commerce Ubiquitous Computing in Environmental Control Blockchain for IoT Security Enhancement Blockchain Background Potential Blockchain Solutions Conclusion References : Case Study on Future Generation IoT: Secure Model for IoT-Based Systems—Health Care Example Introduction IoT Challenges Security Privacy Review of Related Work Existing IoT Security Models and Current Issues Secure Model for IoT-Based Systems: Health Care Example IoT Case Study: Wearable Devices for Health Care IoT Layers and Health Care System Model AWS Platform Enhanced AWSACIoT Model Conclusion and Future Work References : Spy-Bot: Controlling and Monitoring a Wi-Fi-Controlled Surveillance Robotic Car using Windows 10 IoT and Cloud Computing Introduction Background Smart Parking Systems Surveillance Systems Spy-Bot: Wi-Fi Controlled Robotic Car Block Diagram of Wi-Fi Controlled Robotic Car Major Components Used Raspberry Pi 2 Digital Web Camera Geared DC Motor Dual Full-Bridge L298N Driver Ultrasonic Sensors Microsoft Azure (Windows Cloud Platform)Flow Diagram Experimental Conditions Results and Discussion Hardware Implementation Results Conclusion Future Development References : Multi-Antenna Communication Security with Deep Learning Network and Internet of Things Introduction: Background Literature Survey Internet of Things (IoT) with Multi-Antenna Beam Radio Frequency Identification System (RFID)Sensor Technology Smart Technology Nanotechnology Deep Learning with Multi-Antenna Beam Multi-Antenna Beam with the IoT and Deep Learning Mathematical Background Security Assessment TCP Scan SYN Scan FIN Scan Conclusion and Future Scope References : Security Vulnerabilities, Challenges, and Schemes in IoT-Enabled Technologies Introduction IoT Architecture and Systemic Challenges Sensing Layer: Introduction and Challenges in End-Nodes Threat Based on Network Layer Service-Layer Based Threats Application Interface Layer Cross-Layer Challenges Challenges and Associated Vulnerabilities in IoT-Enabled Technologies Authentication- and Authorization-Related Challenges Insecure Access Control Role-Based Access Control Systems Access Control List-Based Systems Capability-Based Access Challenges in Access Control Physical Layer Security Encryption Based on Transport of Data TLS: Transport Layer Security HTTPS Transport Trust in IoT Secure Cloud and Web Interface Secure Software and Firmware Estimating the Cost of a Cyber-Breach: Case Study on Intellectual Property Breach for the IoT Existing Cyber-Attack Detection Software and Security Schemes Conventional Cyber-Security Schemes Access Control Technologies System Integrity Cryptography Audit and Monitoring Configuration Management and Assurance Tools Embedded-Programming-Based Agent-Based Approach Software-Engineering- and Artificial-Intelligence-Based Conclusion and Open Challenges References : Advanced Security Using Blockchain and Distributed Ledger Technology Introduction Blockchain and Distributed Ledger Technology (DLT)Blockchain Types Permissionless Blockchain Permissioned Blockchain Hybrid Blockchain Classification Scheme Blockchain Mechanism Cryptography Peer-to-Peer Distributed Network Smart Contracts Structural Difference between Traditional Databases and Blockchain Immutability of Blockchain Performance Robustness and Disintermediation Blockchain Technology as the Future of Cybersecurity Future Trends of Blockchain Blockchain beyond Bitcoin Threat Management and Defense Discussion Conclusion References : Blockchain Technology and Its Emerging Applications Introduction Terminology Block Chain Blockchain Ledger Node Proof of Work Key Input Output Hash Function History and Working of Blockchain Technology History of Blockchain Technology Working of Blockchain Technology Cryptography of Private and Public Keys Public Distributed Ledger (Peer-to-Peer Network)Program or Protocol (Rules)Types of Blockchain Public Blockchain Semiprivate Blockchain Private Blockchain Consortium Blockchain Advantages and Disadvantages of Blockchain Technology Key Characteristics/Advantages of Blockchain Technology Decentralization Immutability/Persistence Higher Capacity Higher Security Anonymity Auditability Faster Processing Cheaper Transactions Transparency Disadvantages of Blockchain Technology Blockchain Technology Is New Blockchain Technology Can Be Expensive Blockchain Technology Is Unregulated Security Risk Technological Risk Issues/Limitations of Blockchain Technology Complexity Necessity for Large Networks Necessity of High-Quality Input Security Flaw Behavioral Change Scaling Bootstrapping Government Regulations Fraudulent Activities Applications of Blockchain Technology Elections/Electronic Voting Traditional Financial Institutions: Improvements Health Care Technology Cross-Border Payments/Remittance Smart Contracts Copyrighted Contents Identity of Things Internet of Things Real-World Examples of Blockchain Technology Applications Cybersecurity GuardTime REMME Health Care Gem MedRec SimplyVital Health Financial Services Abra Bank Hapoalim Barclays Maersk Aeternity Augur Manufacturing and Industrial Sectors Provenance JioCoin Hijro Governmental Services Dubai Estonia South Korea GovCoin Followmyvote.com Charity Retail Services OpenBazaar Loyyal Real Estate Services Transportation and Tourism Sectors IBM Blockchain Solution Lazooz Media Services Kodak Ujomusic Conclusion References : Emergence of Blockchain Technology: A Reliable and Secure Solution for IoT Systems Introduction Blockchain Methodology Blockchain Characteristics Digital Wallet Block Structure Types of Blockchain Public Blockchain Private Blockchain Consortium Blockchain Hybrid Blockchain Consensus Algorithms Proof of Work (PoW)Proof of Stake (PoS)Delegated Proof of Stake (DPoS)Proof of Burn (PoB)Practical Byzantine Fault Tolerance (PBFT)Ripple Securing the IoT using Blockchain IoT Infrastructure Stage One: Sensors/Actuators Stage 2: The Internet Gateways Stage 3: Edge IT and the Cloud Stage 4: Applications Domain Security Issues in the IoT and Solutions Using Blockchain Data Privacy and Integrity (Unauthorized Access to Devices)IoT Device Authentication Insecure Devices Sybil Attacks Software Attack (Malware and Ransomware)RPL Routing Attack Sinkhole and Wormhole Attack Malicious Code Injection Congestion/Jamming Spoofing Attack Deviation and Disruption of Protocols The Exploitation of Misconfigurations (OS, Servers, Frameworks, etc.)Single Point of Failure Applications of Blockchain Smart Power Utilization Smart City Health Care Smart Contract Electronic Voting System Smart Identity Cryptocurrency Warranty and Insurance Claims Transparent Supply Chains Document Verification Conclusion and Future Scope References : Internet of Things and Blockchain: Amalgamation, Requirements, Issues, and Practices Introduction Blockchain Currently Employed Methods Public Key Cryptography (Asymmetric Cryptography)Rivest-Shamir-Adleman Encryption Technique (RSA)Why Blockchain Is the Future Comparisons between Encryption Techniques The Inner Workings/Blockchain Explained Components of Cryptography The Algorithm behind Blockchain Explained Finite Fields Elliptic Curve Cryptography (Ecc) over R Putting These Together Elliptic Curves over Fp (Graphical Understanding)Signature Generation Signature Verification Proof of the Signal Verification Proving the Space and Time Complexities Hash Function Traversal Time Complexity Elliptic Curve Discrete Logarithm Problem (Ecdlp)Distributed Consensus Mechanism Based on Proof of Work Risk Analysis and Mathematical Understanding Satoshi Nakamoto’s Analysis Satoshi’s False Approximation Meni Rosenfeld’s Correction Closed-Form Approach Finer Risk Analysis Blockchain Limitations Excessive Energy Requirements Distribution and Duplication Inability to Adapt to User Base Burst Lack of Oversight and Corresponding Manipulations Lack of Abstraction/Privacy Proof of Work Hybridization Need and Complexity Storage Network Security Risk Mitigating Attacks The Sybil Attack Race Attack Finney Attack Vector76 Attack Conclusion and Future Prospects References : Edge-Based Blockchain Design for IoT Security Introduction Overall Contributions Organization Related Works Challenges Scalability and Interoperability Limitation with Storage Facility Data Privacy and Confidentiality Authentication and Authorization Edge-Based Blockchain Architecture for IoT Security Blockchain System Architecture eBC System Architecture IoT Application Example Scenarios Data Loss Abnormal (DLA)Long-Term Consumption Abnormal (LCA)Short-Term Consumption Abnormal (SCA)Experiments and Discussions Performance Evaluation Information Security Confidentiality Integrity Availability Security with Virtualization Conclusions References : Blockchain for the Security and Privacy of IoT-Based Smart Homes Introduction Blockchain Technology and Smart Homes Security and Privacy Threats to Smart Homes Blockchain as a Security Solution Cryptographic Aspects of Blockchain Case Study Framework Layer 1: Primary Data Layer Layer 2: BC layer Layer 3: Applications Layer Layer 4: UI Layer Proposed Model Smart Home System: An Illustration Experimental Results Conclusion References : A Framework for a Secure e-Health Care System Using IoT-Based Blockchain Technology Introduction Related Work Design Information Collector Using Sensors (IoT Techniques)Processing of Health Care Records in Fog Nodes Preprocessing of Electronic Health Records (EHR)Extract Database Entries Define Features Process Data Assess Feature Values Integrate Data Elements Effective Analysis Using Machine Learning Securing of Health Records Using Blockchain Initialization Generating a New Block Verifying the New Block Appending the New Block Implementation and Results Sensors Layer Fog Computing Layer Cloud Computing Layer Data Preprocessing Effective Analytics Using Machine Learning Building a Blockchain and Cryptocurrency SHA-256 Algorithm P2P Byzantine Fault Tolerance (BFT)Proof of Work (PoW) Consensus Creating Smart Contracts Truffle Ganache Conclusion References : Blockchain in EHR: A Comprehensive Review and Implementation Using Hyperledger Fabrics Introduction Blockchain Technology Stack and Protocol The User Experience (UX)Application Layer The Blockchain Protocol Internet Smart Contracts Blockchain Protocol Projects Blockchain Ecosystem Motivation and Contribution Organization of Chapter Review of Privacy Preservation in Electronic Health Records How Blockchain Solutions Can Address Health Care Challenges Blockchain Implementation Frameworks Blockchain Development Platform and APIs Ethereum Platform Hyperledger Platform Challenges of Blockchain Technological Challenges Business Model Challenges Scandals and Public Perception Government Regulation Primary Challenges for Personal Records Conclusion References : Attacks, Vulnerabilities, and Blockchain-Based Countermeasures in Internet of Things (IoT) Systems Introduction Background of Blockchain History of Blockchain Ingredients of Blockchain Ledger Cryptography Peer-to-Peer Network Assets Merkle Trees Consensus Algorithms Classification of Blockchain Public versus Private Permissioned versus Permissionless Challenges in Blockchain Security Analysis of Blockchain Attacks in the IoT Physical Attacks Tampering RF Interface/Jamming Fake Node Injection Sleep Denial Network Attacks Traffic Analysis Attack RFID Spoofing Routing Information Attacks Man-in-the-Middle Attack Software Attacks Viruses, Worms, Trojan Horses, Spyware, and Adware Malware Data Attacks Data Inconsistency Unauthorized Access Data Breach Blockchain Applications for Smart Industrial Automation Industries 4.0 Autonomous Vehicles (VANET)Smart Home Smart City Health Care 4.0 Unmanned Aerial Vehicles