Cyber Physical Systems - Advances and Applications

Name: Cyber Physical Systems - Advances and Applications
Brand: Bentham Science Publishers
Price: 45.19 EUR
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Anitha Kumari K.Avinash Sharma(Editor)

Bentham Science Publishers

1st Edition

Published on 10. May 2024

200 pages

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978-981-5223-28-6 (ISBN)

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The book gives a comprehensive overview of the evolving landscape of cyber-physical systems (CPS) with a primary focus on security challenges and innovative solutions. CPS, encompassing a wide array of applications from e-Health to smart grid and industry automation, is explored in depth through eight edited reviews. The book starts with an exploration of various threat detection and prevention techniques in IoT environments, followed by discussions on security in smart grid cyber-physical systems, and the integration of cyber-physical systems with game theory. It also covers important topics such as cyber-physical systems in healthcare, augmented reality challenges, network and computer forensic frameworks, and a review of industrial critical infrastructure perspectives. The journey from traditional data warehouses to data lakes is thoroughly examined, shedding light on the evolution of data storage methods. The final chapter explains intrusion detection in industrial critical infrastructure, reviewing feature selection and classification models. By navigating through these topics, the book equips readers with a comprehensive understanding of cybersecurity challenges and solutions in an era of automation and IoT technologies. This book is intended for a diverse readership, including professionals, researchers, and technology enthusiasts keen on exploring the intricacies of CPS, IoT security, data storage evolution, and industrial infrastructure protection. Key Features: Analytical insights into cyber-physical systems security. Thorough exploration of threat detection and prevention techniques. Application-focused chapters covering smart grid, healthcare, and more. Integration of game theory and augmented reality in cyber-physical systems. Comprehensive overview on network and computer forensic frameworks. Readership Computer science students; Cybersecurity graduates and trainees; academics, researchers and industry professionals interested in understanding and utilizing cyber-physical systems.

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Cover
Title
Copyright
End User License Agreement
Contents
Preface
List of Contributors
A Comprehensive Analysis of Various Threat Detection and Prevention Techniques in IoT Environment
P.S. Pavithra1,* and P. Durgadevi1
1. INTRODUCTION
2. CLASSIFICATION OF IOT LAYERS
2.1. Application Layer
2.2. Middleware Layer
2.3. Network Layer
2.3.1. Low Power Wi-Fi
2.3.2. Zigbee
2.3.3. Near Field Communication (NFC)
2.3.4. BLE
2.3.5. Low Power Wide-Area-Networks (LPWAN)
2.4. Sensor Layer
2.4.1. Mobile Phone Sensors
2.4.2. Healthcare Sensors
2.4.3. Neural Sensors
2.4.4. Environmental and Chemical Sensors
2.4.5. RFID
3. VARIOUS SECURITY ISSUES IN IOT LAYERS
3.1. Phishing Attacks
3.2. Side-Channel Attack
3.3. Unauthorized Access
3.4. Remote to Local (User) Attacks (R2L)
3.5. Probing
3.6. User to Root Attacks (U2R)
3.7. Eavesdropping Attack
3.8. Node Capture Attacks
3.9. Replay Attack
3.10. Wormhole Attack
4. IOT SECURITY
4.1. IoT Security Using IDS
4.2. IoT Security Using Machine Learning Techniques
4.3. IoT Security Issues using Blockchain
4.3.1. Ethereum
4.3.2. Hyperledger Fabric
4.3.3. Hyperledger Sawtooth
4.3.4. EOSIO
4.3.5. Corda
4.3.6. Quorum
4.3.7. Distributed Ledger
4.3.8. Peer to Peer Communication
CONCLUSION
REFERENCES
Security Concerns in Smart Grid Cyber-Physical System
S. Brindha1,* and Anitha Kumari K.2
1. INTRODUCTION
2. SMART GRIDS
2.1. Model for Smart Grid
3. CHARACTERISTICS OF CPS WITH SMART GRID
3.1. Connectivity
3.2. Mobility
3.3. Security & Privacy
3.4. Flexibility
3.5. Dynamics
3.6. Interoperability
4. COMPONENTS OF SMART GRID
5. APPLICATIONS OF SG-CPS
6. APPLICATIONS OF SMART GRID CYBER PHYSICAL SYSTEM (SG-CPS)
6.1. Advanced Metering Infrastructure (AMI)
6.2. Demand Management
6.3. Electric Vehicles (EVs)
6.4. Wide-Area Situational Awareness
6.5. Distributed Energy Resources and Storage
6.6. Distributed Grid Management
6.7. Energy Management
6.8. Smart Home
6.9. Self-healing Grid
6.10. Power Demand Forecasting
6.11. Power Generation Forecast of Renewable Energy
6.12. Fault Diagnosis and Protection
6.14. Smart Grid Security
7. SECURITY OBJECTIVES IN SG-CPS
7.1. Confidentiality
7.2. Integrity
7.3. Availability
7.4. Accountability
8. CYBER-ATTACKS IN SG-CPS
8.1. Transmission System Attacks
8.2. Interdiction Attacks
8.3. Complex Network (CN)-based Attacks
8.4. Substation Attacks
8.5. Switching Attacks
8.6. PMU Attacks
8.7. Smart Meter Attacks
9. COUNTERMEASURES
9.1. Counter-acting Attacks using Moving Target Defense
9.2. Counter-acting False Data Attacks using Anomaly Detection
CONCLUSION
REFERENCES
Cyber Physical Systems in Clinical Setting
T.P. Kamatchi1,*, Anitha Kumari K.2 and D. Priya1
1. INTRODUCTION
1.1. Cyber Physical Systems
1.2. Definition of Sensor
1.3. Classification of Sensors
1.4. Usage of Sensors
1.5. How Do the Sensors' Function?
1.6. Diverse Variety of Sensors
1.6.1. Touch Sensor
1.6.2. Color Sensor
1.6.3. Humidity Sensor
1.6.4. Magnetic Sensor (Hall Effect Sensor)
1.6.5. Microphone (Sound Sensor)
1.6.6. Flow and Level Sensor
1.6.7. Strain and Weight Sensor
1.7. Key Difficulties in CPS
1.8. Security Challenges in CPS
1.8.1. High Assurance Software
1.8.2. Interoperability
1.8.3. Context Awareness
1.8.4. Autonomy
1.8.5. Security and Privacy
1.8.6. Certifiability
1.8.7. Executable Clinical Workflows
1.8.8. Model-based Development
1.8.9. Physiological Close-loop Control
1.8.10. Patient Modeling and Simulation
1.8.11. Smart Alarms and Adaptive Patients
1.8.12. User-centered Design
1.8.13. Infrastructure for Medical-Device Integration and Interoperability
1.8.14. Compositionality
1.8.15. Security and Privacy
1.8.16. Verification, Validation and Certification
2. SENSOR NETWORKS AND TRANSMISSION TECHNOLOGIES
2.1. Types of Networks
2.1.1. Body Area Network (BAN)
2.1.2. Personal Area Network (PAN)
2.1.3. Local Area Network (LAN)
2.1.4. Metropolitan Area Network (MAN)
2.1.5. Wide Area Network (WAN)
2.2. Transmission Technologies
2.2.1. Wired Transmission
2.2.2. Wireless Transmission
3. ARCHITECTURE OF CYBER PHYSICAL SYSTEM
3.1. Design Requirements of CPS Architecture
3.1.1. Reliability
3.1.2. Accuracy
3.1.3. Latency
3.1.4. Scalability
3.1.5. Interoperability
3.1.6. Autonomy
3.1.7. Protection and Confidentiality
3.1.8. QoS
3.2. Generic Architecture of CPS
3.3. Service Oriented Architecture (SOA) for CPS
3.3.1. Service Description
3.3.2. Service Composition
3.3.3. Service Registry
3.3.4. Service Discovery
3.3.5. Service Monitoring
3.4. CPS Layer Model
3.4.1. Physical Layer
3.4.2. Network Layer
3.4.3. Decision Layer
3.4.4. Application Layer
3.5. CPS Architecture for Clinical Setting
3.5.1. Physical / Sensor Layer
3.5.2. Network Layer
3.5.3. Decision Layer
3.5.4. Application Layer
3.6. Enabling Technologies for Healthcare Cyber Physical Systems
4. IMPLEMENTATION OF CPS IN CLINICAL SETTING
4.1. Cyber Physical Systems in Clinical Settings
4.2. Mechanism Makes up Cyber Physical Systems
4.3. How Does a Cyber-physical System Operate?
4.4. Implementation of Cyber Physical Systems
4.4.1. Connection Level
4.4.2. Conversion Level
4.4.3. Cyber Level
4.4.4. Cognition Level
4.4.5. Configuration Level
5. EMERGING CYBER-PHYSICAL SYSTEMS IN CLINICAL SETTINGS
5.1. CPS Based Hospital Asset and Patient Location Tracking System
5.1.1. Working of the Asset Tracking System
5.1.2. Advantages
5.1.3. Similar CPS Applications in Clinical Settings
5.2. Medical CPS (MCPS) and Big Data Platform
5.3. LiveNet
5.4. HipGuard
5.5. AlarmNet
CONCLUSION
REFERENCES
Cyber Physical Systems in Autonomous and Unmanned Aerial Vehicles
Sindhu Rajendran1,*, Shreya S.1, Alaska Tengli1 and Ramavenkateswaran N.1
1. INTRODUCTION
1.1. Evolution of Autonomous Vehicles
1.2. Introduction to Unmanned Aerial Vehicles (UAVs)
2. IMPORTANCE OF CPS
2.1. Advantages of Cyber Physical Systems
2.1.1. Smart-city Administration
2.1.2. Infrastructure
2.1.3. Automotive
2.1.4. Agriculture
2.1.5. Sustainability
2.1.6. Security and Privacy
2.1.7. Health Care
3. CHALLENGES WITH RESPECT TO CYBER PHYSICAL SYSTEMS
3.1. Hybrid
3.2. Multidisciplinary
3.3. Distributed
3.4. Large-scale
3.5. Dynamic
3.6. Adaptive
3.7. Human-in-the-loop
3.8. Steps that can be Taken to Overcome the Mentioned Challenges
3.8.1. Cross-domain
3.8.2. Based on components
3.8.3. Educational
3.8.4. Time-awareness
3.8.5. Trust-conscious
3.8.6. Human-centric
4. ROLE OF CPS IN AUTONOMOUS VEHICLES
4.1. Design Prospects of CPS in Autonomous Vehicles
4.1.1. Model Based Design (MBD)
4.1.2. Cyber-physical Systems
4.1.3. Human-in-the-loop System
4.2. Two Basic Elements are Necessary for these Systems to Operate Effectively
4.2.1. Component-based Design
4.2.2. Design for Security & Privacy
4.3. Aspects of CPS in the Present Era
4.4. Future Prospects of Cps
5. ROLE OF CPS IN UNMANNED AERIAL VEHICLES
5.1. Present State of Art of Cps in UAVs
5.1.1. ReMinds
5.1.2. Cps Research Incubator
5.2. Future Prospects of CPS In UAVs
CONCLUSION
REFERENCES
Cyber-Physical System: Advances and Applications in Cyber Security
Sindhu Rajendran1,*, Shilpa S.P.1, Sai Priya L.1 and Ramavenkateswaran N.1
1. INTRODUCTION
1.1. Evolution of CPS
1.1.1. Benefits of CPS
1.1.2. Applications of CPS
2. CHALLENGES IN TERMS OF SECURITY IN CPS
2.1. Network Vulnerabilities
2.2. Platform Vulnerabilities
2.3. Management Vulnerabilities
2.3.1. Assumption and Isolation
2.3.2. Increasing Networking
2.3.3. Diversity
2.4. USB Usage
2.5. Bad Practice
2.6. Spying
2.7. Homogeneity
2.8. Suspicious Employees
3. CPS IN INDUSTRY
3.1. CPS Management System
3.1.1. Types of Threats
4. SYSTEM MODELLING OF CPS
5. CPS SECURITY REQUIREMENTS
5.1. Privacy
5.2. Dependability
5.3. Durability
5.4. Interaction and Coordination
5.5. Operational Security
5.6. System Hardening
6. VARIOUS APPROACHES OF CPS SECURITY
6.1. Binary Hypothesis and Bayesian Detection
6.2. Weighted least square approaches
6.3. DoS Attack Strategies
6.4. Deception Attack Strategies
Replay Attack Strategies
7. DIFFERENT ALGORITHMS FOR CPS SECURITY
7.1. Algorithm for Threat Modeling Approach
7.2. Digital Twinning Algorithm
7.2.1. Overview of the Proposed Framework
7.3. Bidirectional RNN-Based Network Anomalous Attack Detection for Cyber-Physical Systems with 1-Based Power System Security Algorithm
7.4. Alignment of CPS Security and Safety Using Failure Graph of Attack-Countermeasure (FACT)
7.4.1. Step 1
7.4.2. Step 2
7.4.3. Step 3
7.4.4. Step 4
8. FUTURE ASPECTS OF IMPROVEMENT
8.1. Upkeep of Security Services
8.2. Confidentiality
8.3. Integrity of Message/Device
8.4. Device and data accessibility
8.5. Authentication of Devices and Users
8.6. Digital Evidence Protection
8.7. Improving Security Policy
8.8. Intelligent Collaborative Effort with Non-cryptographic Solutions
8.9. Compliance Enforcement
8.10. Obtaining a Trade-off
8.11. Availability
8.12. Safety and Security
CONCLUSION
ABBREVIATIONS
REFERENCES
Cyber-Physical Systems in HealthCare
M. Revathy1,* and A.S. Rakseda keerthi1
1. INTRODUCTION
2. CURRENT TRENDS
2.1. Software Based
2.2. Increased Connectivity
2.3. Continuous Monitoring
3. PHYSIOLOGICALLY CLOSED LOOP SYSTEMS
3.1. Taxonomy
3.2. Application
3.3. Assisted
3.4. Controlled
3.5. Computation
3.6. Modelling
3.7. Monitoring
3.8. Communication
3.9. Scheduling
3.10. Protocol
3.11. Security
3.12. Privacy
3.13. Encryption
3.14. Sensors
3.14.1. Sensors Types
3.14.2. Method
3.14.3. Parameters
4. APPLICATIONS IN HEALTH CARE
4.1. Covilearn
4.1.1. Introduction
4.1.2. Datasets
4.1.3. Device Setup
4.1.4. Transfer Learning
4.1.5. Working of Covilearn
4.1.6. Major Contributions
4.2. E-stocking
4.2.1. System Level
4.2.2. Subsystem Level
4.2.3. Realization
4.2.4. Evidence Production
4.2.5. Electrochemical
4.2.6. Computation
4.2.7. Communication
4.2.8. Results
4.3. False Alarms
4.3.1. Architecture
4.3.2. Results
5. MONITORING
5.1. Smartphone Ecg
5.2. Mobi Health
5.3. Predicting Vital Signs
5.4. Code Blue
6. MEDICINE INTAKE APPLICATIONS
6.1. iCabiNET
6.2. iPACKAGE
7. DAILY LIVING APPLICATIONS
7.1. Livenet
7.2. Hipgaurd
8. BASED ON TECHNOLOGY
8.1. Cloud-based Data Collection
8.2. Digital Twins
8.3. PLUG AND PLAY DEVICES
9. OTHER NOTABLE APPLICATIONS
9.1. Electronic Medical Records (EMR)
9.2. Smart Checklist
9.3. Istertch
10. ADVANTAGES
10.1. Network Integration
10.2. Interaction of Human and System
10.3. Automation
10.4. Better Performance
10.5. Response Time
10.6. Optimization
10.6. Certainty
10.7. Scalability
10.8. Flexibility
11. CHALLENGES AND OPPORTUNITIES
11.1. Model-based
11.2. User-controlled Design
11.3. Data Privacy and Security
11.4. Verification and Validation
CONCLUSION
REFERENCES
Journey from Data Warehouse to Data Lake
Geeta Rani1,*, Puninder Kaur2 and Avinash Sharma3
1. INTRODUCTION
2. DATA LAKE AND ITS BENEFITS
2.1. Benefits of Data Lake
3. DATA LAKE VS DATA WAREHOUSE
4. DATA LAKE ARCHITECTURE
4.1. Data Ingestion Layer
4.2. Data Storage Layer
4.3. Data Processing and Query Layer
4.4. Data Presentation and Visualization Layer
4.5. Data Management Layer
5. DATA LAKE AND HADOOP
5.1. Hadoop Ecosystem
5.2. HDFS (Hadoop Distributed File System)
5.3. YARN (Yet Another Resource Negotiator)
5.4. MapReduce
5.5. PIG
5.6. HIVE
5.7. Mahout
5.8. HBase
5.9. Zookeeper
5.10. Apache Flume
5.11. Apache Sqoop
6. DATA LAKE CHALLENGES AND RECOMMENDATIONS
6.1. Building of Data Lake
6.2. Managing of Data Lake
6.3. Extracting the Valuable Data
CONCLUSION
REFERENCES
Feature Selection and Classification Models of Intrusion Detection Systems -A Review on Industrial Critical Infrastructure Perspective
M. Karthigha1,*, L. Latha2 and R. Madhumathi1
1. INTRODUCTION
1.1. IDS for Industrial Control Systems
1.2. Types of Intrusion Detection Systems
1.2.1. Signature-based IDS
1.2.2. Anomaly or Behaviour-based IDS
1.3. Network IDS
1.4. Host-Based Intrusion Detection System
1.5. Protocol-Based Intrusion Detection System
1.6. Application Protocol-based Intrusion Detection System
1.7. Virtual Machine-Based Intrusion Detection System (VMIDS)
2. FEATURE SELECTION
2.1. Unsupervised
2.2. Supervised
2.2.1. Filter Method
2.2.2. Wrapper Method
2.2.3. Embedded Method
3. MODEL I
4. MODEL II
5. MODEL III
6. MODEL IV
7. MODEL V
8. MODEL VI
9. CLASSIFICATION MODELS
9.1. Real-Time Processing
9.2. Scalability and Performance
9.3. Anomaly Detection
9.4. Explainability and Interpretability
CONCLUSION
REFERENCES
Subject Index
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Cyber Physical Systems - Advances and Applications

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