Emerging Smart Technologies for Critical Infrastructure

✍ Scribed by Shantanu Pal, Zahra Jadidi, Ernest Foo, Subhas C. Mukhopadhyay

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 172
• Series: Smart Sensors, Measurement and Instrumentation, 44
• Category: Library

✦ Synopsis

This book highlights the latest advancements, innovation, technology, and real-world challenges and solutions related to smart critical infrastructure. In addition, it provides quantitative and qualitative research innovations to individual, academic, organizational and industry practitioners in a wide range of practical solutions using emerging technologies in areas such as smart sensing, data acquisition, data analytics, data processing, and other related topics, such as security, privacy, and trust to devices, users, and the systems. Finally, the book discusses the various societal applications using the Internet of Things and emerging technologies. As such, it offers an essential reference guide about the latest design and development in critical infrastructure for academia and industry. Fully explaining all the techniques used, the book is of interest to engineers, researchers, and scientists working in wireless sensor networks, Internet of Things systems, and emerging technologies.

✦ Table of Contents

Preface
Contents
Cybersecurity for Satellite Smart Critical Infrastructure
1 Introduction
2 Survey of Cybersecurity Properties for Satellite Smart Critical Infrastructure
3 Cybersecurity Properties for Satellite Smart Critical Infrastructure and Definitions
4 Mechanisms for Satellite Smart Critical Infrastructure Cybersecurity
4.1 Digital Twin Technology
4.2 Formal Verification for Space Assets
4.3 Authenticated Network Time Protocol
4.4 Integrated Systems for Runtime Verification of Space Assets via Digital Twin
5 Conclusion
References
Blockchain in Smart Grids: A Review of Recent Developments
1 Introduction
2 Introduction of Blockchain and Smart Grids
2.1 Introduction of Blockchain
2.2 Introduction of Smart Grids
2.3 Taxonomy of Blockchain-Based Applications in Smart Grids
3 Blockchain-Supported Energy and Carbon Credit Trading
3.1 Energy Trading
3.2 Carbon Credit Trading
3.3 Energy Cryptocurrencies
4 Blockchain-Enabled Data Management in Smart Grids
4.1 Use Blockchain as a Distributed Database in Smart Grid Data Management
4.2 Data Privacy Preserving in Blockchain-Based Smart Grid Data Management
4.3 Identity Privacy Preserving in Blockchain-Based Smart Grid Data Management
5 Blockchain-Supported Demand Side Management
5.1 Blockchain-Based Solutions for Smart Home Management
5.2 Blockchain-Based Solutions for EV Management
6 Blockchain-Based Solutions for Smart Grid Operation and Control
6.1 Blockchain-Based Security Constrained Economic Dispatch
6.2 Blockchain-Based Optimal Power Flow
6.3 Blockchain-Based Grid Topology Change Identification
6.4 Blockchain-Based Microgrid Energy Management
6.5 Blockchain-Based Virtual Power Plant Energy Management
7 Conclusion
References
Client Selection Frameworks Within Federated Machine Learning: The Current Paradigm
1 Introduction
2 Literature Review
2.1 Federated Machine Learning Overview
2.2 Technical Architecture of Federated Machine Learning
2.3 Service Layer
2.4 Operator Layer
2.5 Infrastructure Layer
2.6 Cross-Layer
2.7 Algorithm Layer
3 Operation of Federated Machine Learning Algorithm
3.1 Horizontal Learning
3.2 Vertical Learning
3.3 Transfer Learning
4 Client Selection in Federated Machine Learning
5 Client Selection Frameworks
6 Our Proposed Framework
7 Applications for Federated Machine Learning Using Client Selection Frameworks
8 Conclusion and Future Work
References
Explainable Anomaly Detection in IoT Networks
1 Introduction
2 Related Work
3 Proposed X-NFIDS for IoT Networks
3.1 SHAP Methodology
3.2 Random Forest
4 Results and Discussion
5 Conclusion
References
Application of Machine Learning on Material Science and Problem Solving Under Security—A Review
1 Material Informatics Introduction
1.1 Machine Learning and Material Science
1.2 Application of Machine Learning in Chemistry
1.3 Application of Machine Learning in Medicinal Chemistry
1.4 Image Processing and Material Science
2 A Review on Two Graph-Based Models for Problem Solving in a Simple Language
2.1 How Graph-Cut Models Work for Image Segmentation?
2.2 How Conditional Random Field Address Image Segmentation?
3 Conclusion
References
Introduction to Blockchain Technology with Bitcoin Protocol
1 Overview of Distributed Ledger Technology
1.1 Advantages and Limitations of DLT Systems
1.2 Blockchain-Based DLT Systems
2 Introduction to Blockchain Technology
2.1 The Architecture of a Blockchain-Based System
2.2 Bitcoin Value Transfer Protocol
2.3 Blockchain System Key Components
3 Technical Limitation of Blockchain Technology
3.1 Scalability
3.2 Scalability Trilemma
3.3 Classification of Scalability Approaches
3.4 Interoperability
4 Conclusion
References
Security Challenges and Wireless Technology Choices in IoT-Based Smart Grids
1 Introduction and Background of IoT-Based Smart Grid Architecture
1.1 Smart Grids
1.2 Home Area Network (HAN) and Home Energy Management Systems (HEMS)
1.3 Neighbourhood Area Network (NAN)
1.4 Wide Area Network (WAN)
1.5 The Three-Layer IoT Model
2 Attacks and Challenges
2.1 HAN/NAN/WAN Security-Related Research
2.2 Attacks on IoT Networks
2.3 Security Challenges and Future Research Opportunities
3 IoT Transmission Technologies for the Smart Grid
3.1 LoRa
3.2 LoRaWAN
3.3 LoRa 2.4 GHz
3.4 Bluetooth
3.5 Zigbee
3.6 Thread
3.7 Wi-Fi
3.8 SigFox
3.9 Narrowband-IoT (NB-IoT)
3.10 LTE-M
3.11 5G
4 Conclusion
References