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Dependable IoT for human and industry : modeling, architecting, implementation / editors, Vyacheslav Kharchenko, Ah Lian Kor, Andrzej Rucinski.
- Format:
- Book
- Series:
- River Publishers series in information science and technology.
- River Publishers series in information science and technology
- Language:
- English
- Subjects (All):
- Internet of things--Standards.
- Internet of things.
- Internet of things--Security measures.
- Physical Description:
- 1 online resource (lvi, 566 pages) : illustrations.
- Edition:
- 1st ed.
- Place of Publication:
- Gistrup, Denmark : River Publishers, [2019]
- Summary:
- Dependable IoT for Human and Industry covers the main aspects of Internet of Things and IoT based systems such as global issues of applications, modeling, development and implementation of dependable IoT for different human and industry domains.
- Contents:
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Acknowledgments
- List of Contributors
- List of Figures
- List of Tables
- List of Abbreviations
- Dependable LoT for Human and Industry: Introduction and Book Scope
- 1. Internet of Important Things
- 2. Internet of Things and Collaboratory
- 3. Main Topics and Scope
- Part I: Internet of Vital and Trust Things
- 1: Disruptive Innovation in Vital Embedded Systems and the Internet of Vital Things
- 1.1 Introduction and Brief History
- 1.1.1 Embedded Systems
- 1.1.2 Critical Embedded Systems
- 1.1.3 The Internet of Things in Context
- 1.1.4 Some Observations of the Status Quo and the Near Term
- 1.2 Internet of Vital Things (IoVT)
- 1.2.1 Conception of LoVT
- 1.2.2 Historic Example: SAGE
- 1.3 The SAGE Air Defense System
- 1.4 Evolution of Disruptive Innovation in the Design of Microelectronic Systems and the LoVT
- 1.4.1 Creation of CIDLab
- 1.4.2 Concepts of GAIN and Global Systems Engineering Education
- 1.4.3 I-GEMS and the Virtual Design Universe
- 1.4.4 Design for Globalization
- 1.4.5 Vital Electronics
- 1.5 Vital-ISolve and the Internet of Vital Things (IOVT)
- 1.5.1 Vital-iSolve Fundamentals
- 1.5.2 Vital-iSolve Ingredients
- 1.5.3 Example From an E-Health Ambulatory Sensor Application: Heart Sensor
- 1.6 Conclusion
- 1.6.1 Summing up the Recent Disruptive Innovation in Microelectronics Systems Education
- 1.6.2 The Big Question Which Needs to be Addressed
- References
- 2: How to Support Creativity in the Complex LoT with Ethics and Trust for Users
- 2.1 Introduction
- 2.2 Architecting the Future
- 2.2.1 Conceptual Architects
- 2.2.2 System-of-Systems
- 2.2.3 Trusted Interfaces
- 2.3 Conclusion
- Part II: Modelling and Assessment.
- 3: Design and Simulation of an Energy-Efficient Sensor Network Routing Protocol for Large-Scale Distributed Environmental Monitoring Systems
- 3.1 Introduction
- 3.1.1 Context and Motivation
- 3.1.2 Contributions
- 3.2 Related Work
- 3.3 Proposed Protocol EESNR
- 3.3.1 Network Topology Model for EESNR
- 3.3.2 Path Loss/Fading
- 3.3.3 Radio and Data Transmission Model
- 3.4 Simulation Setup and Results
- 3.4.1 Simulation Setup
- 3.4.2 Simulation Results
- 3.5 Conclusions
- 4: Modeling and Assessment of Resource-Sharing Efficiency in Social Internet of Things
- 4.1 Introduction
- 4.2 Related Work
- 4.3 Motivation
- 4.4 The Proposed Model
- 4.4.1 P2P Resource Sharing Specifications
- 4.4.2 Agent-Based Model of Peers in Competitive Mode
- 4.4.3 Agent-Based Model of Peers in Cooperative Mode
- 4.5 Simulation and Results
- 4.5.1 Simulation Setup
- 4.5.2 Simulation Results
- 4.6 Conclusions
- 5: Modeling and Availability Assessment of Mobile Healthcare LoT Using Tree Analysis and Queueing Theory
- 5.1 Introduction
- 5.1.1 Motivation
- 5.1.2 State of the Art
- 5.1.3 Aim and Objectives
- 5.2 Healthcare LoT Infrastructure
- 5.3 Applicable Approaches and Methods for Modeling and Simulation of Healthcare LoT
- 5.3.1 Fault Tree Analysis for Failure Occurrence Nature of Healthcare LoT
- 5.3.2 Justification of Applicability of the Queueing Theory
- 5.4 Case Study: Modeling of Healthcare LoT Using Queueing Theory
- 5.4.1 Initial Model "Birth-Death"
- 5.4.2 The Model Considering Attacks on Vulnerabilities
- 5.4.3 The Model Considering Elimination of Vulnerabilities
- 5.4.4 Discussion of the Simulation Results
- 5.5 Conclusions
- 6: PSMECA Analysis of LoT-Based Physical Security Systems
- 6.1 Introduction
- 6.1.1 Motivation
- 6.1.2 The Objectives, Approach and Structure.
- 6.2 LoT-Based Physical Security System
- 6.3 Establishment of the Models of PSS
- 6.3.1 Models of Functions and Components of PSS
- 6.3.2 Fault Models of Physical Security System
- 6.3.3 Investigation and Analysis of the Occurrence of Failures in PSS
- 6.4 Conducting of PSMECA
- 6.4.1 An Example of PSMECA Tables for the Case of CCTV Subsystem Functioning in Normal Operation Mode
- 6.4.2 Discussion of the PSMECA
- 6.5 Conclusions and Future Steps
- 7: LoT Security Event Correlation Based on the Analysis of Event Types
- 7.1 Introduction
- 7.2 State of the Art
- 7.3 Approach to Security Event Correlation
- 7.3.1 Security Correlation and Sources of Information
- 7.3.2 Events, Event Types, and Properties
- 7.3.3 Correlation Method Based on Analysis of Event Types
- 7.3.4 Input Data Requirements
- 7.4 Implementation and Experiments
- 7.5 Conclusion
- 8: Investigation of the Smart Business Center for IoT Systems Availability Considering Attacks on the Router
- 8.1 Introduction
- 8.2 Security Challenges for IoT Technologies
- 8.2.1 Technologies and Features to Create IoT Systems
- 8.2.2 Vulnerabilities and Types of Attacks in Wireless IoT Systems
- 8.2.3 Security Issues of Some Wireless Technologies of IoT
- 8.2.3.1 ZigBee Technology
- 8.2.3.2 Z-Wave Technology
- 8.2.3.3 Long-Term Evolution/Long-Term Evolution Advanced (LTE/LTE-A) Technologies
- 8.2.3.4 Low-Power Wide-Area Network (LoRAWAN) Technology
- 8.2.3.5 Radio Frequency IDentification (RFID) Technology
- 8.2.3.6 Bluetooth Low Energy Technology (BLE)
- 8.2.4 Spyware in IoT
- 8.3 The Markov Model of the SBC Router States
- 8.3.1 Assumptions and Initial Data for Modeling
- 8.3.2 Description of the SBC Router States' Graph
- 8.3.3 Simulation Results
- 8.4 Conclusion
- References.
- 9: An Internet of Drone-Based Multi-Version Post-Severe Accident Monitoring System: Structures and Reliability
- 9.1 Introduction
- 9.1.1 Motivation
- 9.1.2 State of the Art
- 9.1.3 The Goals and Structure
- 9.2 Principles of Creating an Internet-of-Drones-Based Multi-Version Post-Severe Accident Monitoring System
- 9.2.1 Structure
- 9.2.2 Principles
- 9.3 Reliability Models for the Internet-of-Drones-Based Multi-Version Post-Severe Accident Monitoring System
- 9.3.1 Simplified Structure
- 9.3.2 Subsystems' Reliability Models
- 9.3.3 System Models
- 9.4 Simulation
- 9.5 Conclusion
- Part III: Architecting and Development
- 10: Virtualization of Embedded Nodesfor Network System Characterization in IoT Applications
- 10.1 Introduction
- 10.2 Related Work
- 10.2.1 System Level Simulation
- 10.2.2 Network Level Simulation
- 10.2.3 Network Level Emulation
- 10.3 Requirements
- 10.4 Background
- 10.4.1 The Emb::6 Networking Stack
- 10.4.2 TTCN-3
- 10.5 VTENN Basics
- 10.5.1 General Architecture
- 10.5.2 Node Virtualization
- 10.5.3 Virtual Radio and Channel
- 10.5.4 Virtual Topologies
- 10.5.5 Monitoring and Control
- 10.6 Design and Implementation
- 10.6.1 Test Executor
- 10.6.2 Network Manager
- 10.6.3 Virtual Nodes and Virtual Channels
- 10.6.4 Sample Test Cases
- 10.7 VTENN in IoT Applications
- 10.8 Conclusion and Future Work
- 11: IoT Meets Opportunities and Challenges: Edge Computing in Deep Urban Environment
- 11.1 Introduction
- 11.2 The Role of Big Data in IoT Era
- 11.2.1 Big Data Generation
- 11.2.2 IoT Data and Big Data Analytics
- 11.2.3 IoT System Architecture
- 11.3 Deep Urban Environment
- 11.3.1 Urban Paradigm
- 11.3.2 Urban IoT Applications
- 11.4 The Emergence of Edge Computing in Urban Context
- 11.4.1 Edge Vision.
- 11.4.2 Application in Urban Environment: Pollution Monitoring
- 11.4.3 Network Load Improvements
- 11.4.4 Network Local Estimation of Concentration for Immediate Exposure Feedback
- 11.4.5 Dependability: Reliability, Security, and Maintenance
- 11.5 Challenges
- 11.6 Conclusion
- 12: Hybrid Control System of Mobile Objects for IoT
- 12.1 Introduction
- 12.2 Related Work
- 12.3 Methodology
- 12.4 Implementation and Evaluation of the Hybrid Control System
- 12.4.1 Subsystem of Remote Control
- 12.4.2 Subsystem of Autonomous Control
- 12.5 Results and Further Work
- 12.6 Conclusion
- 13: Software Architecture for Smart Cities and Technical Solutions with Emerging Technologies' Internet of Things
- 13.1 Introduction
- 13.1.1 Challenges in a Smart City
- 13.1.2 Software Architecture for a Smart City
- 13.1.3 Smart City Governance: Example of Oman
- 13.1.4 Examples of Services Like Intelligent Transport System or Smart Transportation
- 13.1.5 Smart Urban Modeling
- 13.2 Security in a Smart City
- 13.2.1 Attack Analysis
- 13.2.2 Cyber-Physical Systems in Smart Cities
- 13.3 IoT Solutions for a Smart City
- 13.4 Conclusion
- 14: Approaches and Techniques to Improve IoT Dependability
- 14.1 Introduction
- 14.1.1 Motivation
- 14.1.2 Objectives and Structure
- 14.2 Secure Implementation of Modular Arithmetic Operations for IoT and Cloud Applications
- 14.2.1 Modular Arithmetic Operation for IoT and Cloud Security
- 14.2.2 Shortfalls of Methods for Secure Remote Implementation of Modular Exponentiation
- 14.2.3 Secure Parallel Modular Exponentiation
- 14.2.4 Secure Modular Exponentiation in Cloud Infrastructure
- 14.3 Security and Safety Case Driven Design for IoT Systems
- 14.3.1 Concept of Assurance Case Driven Design
- 14.3.2 Approach to Implement ACDD.
- 14.4 Software Requirements Correctness Improvement for IoT Reliability.
- Notes:
- "Conference papers and proceedings."
- Description based on print version record.
- ISBN:
- 1-000-79641-8
- 1-00-333784-8
- 1-003-33784-8
- 1-000-79288-9
- 87-7022-013-1
- 9781003337843
- OCLC:
- 1349722182
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