
Next Generation Internet of Things
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Content
- Front Cover
- Half Title Page
- RIVER PUBLISHERS SERIES IN COMMUNICATIONS
- Title Page - Next Generation Internet of Things Distributed Intelligence at the Edge and Human Machine-to-Machine Cooperation
- Copyright Page
- Dedication
- Acknowledgement
- Contents
- Preface
- Editors Biography
- List of Figures
- List of Tables
- Chapter 1 - IoT EU Strategy, State of Play and Future Perspectives
- 1.1 Introduction
- 1.2 Research and Innovation under Horizon 2020
- 1.3 Deployment - IoT Focus Area and Focus Area on Digitization
- 1.4 IoT within the Next Generation Internet - Preparing the Next Framework Programme for Research and Innovation
- 1.5 Conclusion
- Chapter 2 - Future Trends in IoT
- 2.1 Introduction
- 2.2 Key Technological Game Changers for IoT
- 2.3 Interoperability
- 2.4 Boosting IoT Innovation and Deployment
- 2.5 Conclusion
- Chapter 3 - The Next Generation Internet of Things - Hyperconnectivity and Embedded Intelligence at the Edge
- 3.1 Next Generation Internet of Things
- 3.2 Next Generation IoT Strategic Research and Innovation
- 3.2.1 Digitisation
- 3.2.2 Tactile IoT/IIoT
- 3.2.3 Digital Twins for IoT
- 3.3 Future Internet of Things Enabling Technologies
- 3.3.1 Edge Computing
- 3.3.2 Artificial Intelligence
- 3.3.3 Networks and Communication
- 3.3.3.1 Network technology - hyperconnectivity beyond 5G
- 3.3.3.2 Communication technology
- 3.3.4 Distributed Ledger Technology/Blockchain Technology
- 3.4 Emerging IoT Security Technologies
- 3.5 IoT/IIoT Technology Market Developments
- 3.5.1 Digital Business Model Innovation and IoT as a Driver
- 3.5.1.1 Business models and business model innovation
- 3.5.1.2 The use of IoT for digital business development
- 3.5.1.3 The design and implementation processes of digital business development
- Chapter 4 - End-to-end Security and Privacy by Design for AHA-IoT Applications and Services
- 4.1 Introduction
- 4.2 Global Objectives and Requirements
- 4.2.1 Security
- 4.2.2 Privacy
- 4.3 Recommendations on Cybersecurity and Privacy in IoT
- 4.3.1 Security
- 4.3.2 Privacy
- 4.4 Security Approach
- 4.4.1 Methodology
- 4.4.1.1 Assets identification and description
- 4.4.1.2 Security risk analysis tools: Product or service compliance class, STRIDE, DREAD
- 4.4.1.3 ACTIVAGE as example of Risk Analysis
- 4.5 Privacy Approach
- 4.5.1 Introduction
- 4.5.2 Methodology to Perform Privacy Analysis and Recommendations
- 4.5.3 Data Protection Impact Assessment (DPIA)4
- 4.5.3.1 What is a DPIA?
- 4.5.3.2 When is a DPIA mandatory?
- 4.5.3.3 When should the DPIA be carried out?
- 4.5.3.4 What is the DPIA minimum content?
- 4.5.4 GDPR Analysis for Implementation
- 4.6 Security and Privacy Implementation
- 4.6.1 Introduction
- 4.6.2 Securing a Gateway
- 4.6.3 Blockchain in Smart Homes
- 4.6.3.1 Register in BaaS/give consent
- 4.6.3.2 Register in the ACTIVAGE monitoring platform through BaaS
- 4.6.3.3 Register in the ACTIVAGE monitoring platform with BaaS
- 4.6.3.4 Registration of new devices and software updates
- 4.6.3.5 Login/Logout
- 4.6.3.6 Request/Give/Update permissions for accessing personal data
- 4.7 Conclusions
- Chaper 5 - Use Cases, Applications and Implementation Aspects for IoT Interoperability
- 5.1 Introduction
- 5.2 Current Interoperability State of the Art
- 5.3 Inter-IoT New Approaches for Implementation
- 5.3.1 Multilayer Approach
- 5.3.2 Virtualization of each INTER-IoT Layer Interoperability Solution
- 5.3.3 Universal Semantic Translation
- 5.3.4 Methodology and Tools for Guiding the Implementation
- 5.3.5 Middleware for the Interconnection of Platforms
- 5.3.6 Virtual Gateway
- 5.4 Inter-Iot Use Cases and Applications
- 5.4.1 e-Health (INTER-Health)
- 5.4.1.1 Lifestyle monitor: Medical perspective
- 5.4.1.2 Platforms to integrate
- 5.4.1.3 INTER-IoT integration of health platforms
- 5.4.1.4 INTER-Health technical functionalities
- 5.4.1.5 INTER-Health pilot
- 5.4.1.6 Benefits
- 5.4.2 Smart Transport & Logistics (INTER-LogP)
- 5.4.2.1 Pilot for access control at the port area
- 5.4.2.2 Pilot for health accident at the port area
- 5.4.3 Active and Healhy Ageing (ACTIVAGE)
- 5.4.3.1 ACTIVAGE: Active and healthy ageing initiative
- 5.4.3.2 Use Cases of ACTIVAGE
- 5.4.4 Other Potential Use Cases
- 5.5 Conclusions and Outlook
- Chapter 6 - Smart Data and the Industrial Internet of Things
- 6.1 Introduction
- 6.2 Process Industry
- 6.2.1 Introduction
- 6.2.2 Reference Architecture
- 6.2.3 Plant Operational Platform
- 6.2.3.1 Real-time communication framework
- 6.2.3.2 Virtual process industries resources adapter
- 6.2.3.3 Run-time container
- 6.2.4 Cross Sectorial Data Lab Platform
- 6.2.4.1 Big data storage & analytics platform
- 6.2.4.2 Model development environment
- 6.2.4.3 Function repository
- 6.2.5 Deployment
- 6.2.6 Data Analysis
- 6.2.6.1 Data description
- 6.2.6.2 Preliminary trend analysis of unlabeled data
- 6.2.6.3 Machine learning for labelled data
- 6.2.7 Summary
- 6.3 Manufacturing/Discrete Industry
- 6.3.1 Introduction
- 6.3.2 Intra-factory Interoperability Layer Part of the COMPOSITION Architecture
- 6.3.3 The Complex-Event Machine Learning methodology
- 6.3.3.1 Learning agents architecture
- 6.3.3.2 Data propagation phase
- 6.3.3.3 Data pre-processing (munging) phase
- 6.3.3.4 Learning phase
- 6.3.3.5 Continuous validation phase
- 6.3.3.6 Deployment phase
- 6.3.3.7 Assessment
- 6.3.4 Unsupervised Anomaly Detection in Production Lines
- 6.3.4.1 Configuration clustering
- 6.3.4.2 Segmentation
- 6.3.4.3 Feature extraction
- 6.3.4.4 Dissimilarity measurement
- 6.3.5 Summary
- 6.4 Summary and Conclusions
- Chapetr 7 - IoT European Security and Privacy Projects: Integration, Architectures and Interoperability
- 7.1 BRAIN-IoT
- 7.1.1 BRAIN-IoT Project Vision
- 7.1.2 Objectives
- 7.1.3 Technical Approach
- 7.1.4 Security Architecture Concept
- 7.1.5 Use Cases and Domain Specific Issues
- 7.1.5.1 Service robotics
- 7.1.5.2 Critical infrastructure management
- 7.2 Cognitive Heterogeneous Architecture for Industrial IoT - CHARIOT
- 7.2.1 Introduction
- 7.2.2 Business Challenge and Industrial Baselines
- 7.2.3 The CHARIOT EC, Research Project - Vision and Scope
- 7.2.4 CHARIOT Scientific and Technical Objectives
- 7.2.5 Technical Implementation
- 7.2.5.1 The CHARIOT Open IoT cognitive cloud platform
- 7.2.5.2 Static code analysis and firmware security tool
- 7.2.5.3 Integrated IoT privacy, security and safety supervision engine
- 7.2.5.4 Analytics prediction models user interface
- 7.2.6 System Demonstration, Validation and Benchmarking
- 7.2.6.1 Living lab 1: Trenitalia
- 7.2.6.2 Living lab 2: IBM business campus
- 7.2.6.3 Living lab 3: Athens international airport
- 7.2.7 Summary and Discussion
- 7.3 ENACT: Development, Operation, and Quality Assurance of Trustworthy Smart IoT Systems
- 7.3.1 Challenges
- 7.3.2 The ENACT Approach
- 7.3.3 ENACT Case Studies
- 7.3.3.1 Intelligent transport systems
- 7.3.3.2 eHealth
- 7.3.3.3 Smart building
- 7.4 Search Engines for Browsing the Internet of Things - IoTCrawler
- 7.4.1 Architecture of IoTCrawler
- 7.4.1.1 IoT framework of interoperable (distributed) systems
- 7.4.1.2 Holistic security, privacy and trust
- 7.4.1.3 Crawling, discovery and indexing of dynamic IoT resources
- 7.4.1.4 Machine-Initiated semantic search
- 7.4.2 Use Cases
- 7.4.2.1 Smart city
- 7.4.2.2 Social IoT
- 7.4.2.3 Smart energy
- 7.4.2.4 Industry 4.0
- 7.4.3 Main Innovations in the Areas of Research
- 7.4.3.1 Search and discovery
- 7.4.3.2 Security for IoT
- 7.4.3.3 Data validation and quality analysis
- 7.4.4 Conclusion
- 7.5 SecureIoT: Multi-Layer Architecture for Predictive End-to-End Internet-of-Things Security
- 7.5.1 SecureIoT Architecture
- 7.5.1.1 SecureIoT architecture overview
- 7.5.1.2 Intelligent data collection and monitoring probes
- 7.5.1.3 SecureIoT systems layers and information flows
- 7.5.1.4 Mapping to RAMI 4.0 layers
- 7.5.2 SecureIoT Services
- 7.5.2.1 Risk assessment (RA) services
- 7.5.2.2 Compliance auditing services
- 7.5.2.3 Programming support services
- 7.5.3 Validating Use Cases
- 7.5.3.1 Industrial plants' security
- 7.5.3.2 Socially assistive robots
- 7.5.3.3 Connected car use cases
- 7.5.4 Conclusion
- 7.6 SEMIoTICS
- 7.6.1 Brief Overview
- 7.6.2 Introduction
- 7.6.3 Vision
- 7.6.4 Objectives
- 7.6.5 Technical Approach
- 7.6.5.1 Enhanced IoT aware software defined networks
- 7.6.5.2 Localized analytics for Semi-Autonomous IIoT operation
- 7.6.6 Security Architecture Concept
- 7.6.6.1 Pattern-based trustworthy IIoT/IoT
- 7.6.6.2 Monitoring and adaptation
- 7.6.7 Use Cases
- 7.6.7.1 Renewable energy - Wind energy
- 7.6.7.2 Healthcare
- 7.6.7.3 Generic IoT & smart sensing
- 7.6.8 Summary
- 7.7 SerIoT
- 7.7.1 SerIoT Vision and Objectives
- 7.7.2 SerIoT Architecture Concept
- 7.7.3 Use Cases
- 7.7.4 Industrial and Commercial Involvement
- 7.7.5 Summary
- 7.8 SOFIE - Secure Open Federation for Internet Everywhere
- 7.8.1 Objectives
- 7.8.2 Technical Approach
- 7.8.3 Security Architecture
- 7.8.4 Use Cases
- 7.8.5 Conclusions
- Chapter 8 - CREATE Your IoT
- 8.1 Introduction
- 8.2 CREATE Your IoT
- 8.2.1 The Practice of Art as a Thinking Process
- 8.2.2 Art is Life (Integration)
- 8.2.3 ICT and Art
- 8.2.4 Next Things Next Starts
- 8.2.5 Artists and the IoT European Large-Scale Projects
- 8.2.6 CREATE Your IoT
- 8.3 Conclusion
- Index
- Back Cover
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