Preface xiii Ashu TANEJA, Abhishek KUMAR, Suresh Vishnudas LIMKAR, Mariya OUAISSA and Mariyam OUAISSA -- Chapter 1 AI-Enabled Energy Management in Mobile Wireless Sensor Network for 6G Internet-of-Things (IoT) 1 Bhanu Partap SINGH, Lav SONI and Ashu TANEJA -- 1.1 Introduction 1 -- 1.2 6G IoT: a new frontier for MWSNs 2 -- 1.3 Energy management challenges in 6G IoT MWSNs 6 -- 1.4 AI and machine learning for energy management in 6G IoT MWSNs 9 -- 1.5 Cutting-edge research and emerging trends 14 -- 1.6 AI-driven energy harvesting and wireless power transfer 17 -- 1.7 Conclusion 20 -- 1.8 References 20 -- Chapter 2 Security Solutions for Smart Cities Using Digital Twin 25 Sulakshana MALWADE, SHIKHA, Mandeep KAUR, Vibhuti REHALIA, Kimmi VERMA, Anupma GUPTA and Mohammad Alamgir HOSSAIN -- 2.1 Introduction 25 -- 2.2 Understanding digital twin technology 27 -- 2.2.1 Definition and basic principles of digital twins 27 -- 2.2.2 Components and architecture of a digital twin system 28 -- 2.2.3 Applications of digital twins in various industries 29 -- 2.3 Security challenges in smart cities 31 -- 2.3.1 Overview of security threats in smart cities 31 -- 2.3.2 Cybersecurity risks in connected infrastructure 31 -- 2.3.3 Privacy concerns in data collection and processing 32 -- 2.4 Integrating digital twin for security solutions 33 -- 2.4.1 Using digital twin for real-time monitoring of infrastructure 33 -- 2.4.2 Enhancing situational awareness through digital replicas 33 -- 2.5 Applications of digital twin in smart city security 34 -- 2.5.1 Intelligent traffic management and accident prevention 34 -- 2.5.2 Surveillance and public safety enhancement 35 -- 2.5.3 Critical infrastructure protection 35 -- 2.6 Privacy and ethical considerations 36 -- 2.6.1 Data privacy issues with digital twin data collection 36 -- 2.6.2 Ethical challenges in implementing surveillance systems 36 -- 2.6.3 Strategies for securing personal and sensitive data 37 -- 2.7 Technological challenges and solutions 37 -- 2.7.1 Integration of diverse technologies 37 -- 2.7.2 Data interoperability and standardization 38 -- 2.7.3 Scalability of digital twin systems for large cities 39 -- 2.8 Results and discussion 39 -- 2.9 Conclusion 44 -- 2.10 References 44 -- Chapter 3 Security Solutions for Smart Cities Using Digital Twin: A DevOps Approach in the Era of 6G Powered Ultra-Smart Cities 47 C.V. Suresh BABU and Logapadmini B. -- 3.1 Introduction 47 -- 3.1.1 Overview of digital twin technology 47 -- 3.1.2 The role of 6G in ultra-smart cities 48 -- 3.1.3 The need for security solutions in smart cities 48 -- 3.1.4 The intersection of DevOps and digital twin for security 48 -- 3.2 Background information 49 -- 3.2.1 Evolution of smart cities and digital twins 49 -- 3.2.2 Issues of smart cities 49 -- 3.2.3 Relevance of DevOps in the fighting of security requirements 50 -- 3.3 Relevance to the edited book’s theme 50 -- 3.3.1 Convergence of AI, digital twin and DevOps 50 -- 3.3.2 Contribution to sustainable ultra-smart cities 51 -- 3.4 Key questions or problems addressed 51 -- 3.4.1 Integration of digital twins for security applications 51 -- 3.4.2 Role of DevOps in ensuring continuous security updates 52 -- 3.4.3 Addressing security gaps in 6G-enabled environments 52 -- 3.5 Objectives and scope 53 -- 3.5.1 Objectives of the chapter 53 -- 3.5.2 Delimitation of scope 53 -- 3.6 Literature review 55 -- 3.6.1 Summary of existing research 55 -- 3.6.2 Identified gaps in literature 55 -- 3.6.3 The contribution of this chapter 56 -- 3.7 Methodology 56 -- 3.7.1 Software development methodologies 56 -- 3.7.2 Justification of methodology 58 -- 3.8 Discussion of analysis and findings 58 -- 3.8.1 Case studies on digital twin security in smart cities 58 -- 3.8.2 Analysis of DevOps in smart city infrastructure 59 -- 3.9 Suggestions and recommendations 59 -- 3.9.1 Best practices for implementing security solutions 59 -- 3.9.2 Role of standardized protocols in 6G and digital twins 60 -- 3.10 Future scope for research 60 -- 3.10.1 Quantum computing for digital twin security 60 -- 3.10.2 Digital twin ethical challenges for smart cities 61 -- 3.11 Conclusion 61 -- 3.11.1 Summary of key contributions 61 -- 3.11.2 Final thoughts on digital twin and DevOps integration 61 -- 3.12 References 62 -- Chapter 4 Convergence of Twin Technology with AI for Secure 6G Communication 65 Srinibas PATTANAIK, Jasneet KAUR, Sachin AHUJA, Sartajvir Singh DHILLON and Alessandro VINCIARELLI -- 4.1 Introduction 65 -- 4.1.1 Significance and relevance of privacy and security in 6G networks 66 -- 4.2 Comprehension of twins’ technology 67 -- 4.3 Application of twin technology with AI network security 69 -- 4.4 Network analysis and intelligence of prediction 69 -- 4.5 AI 6G communication infrastructure and security constraints 69 -- 4.6 Development and implement for AI-twin connectivity 70 -- 4.7 Security and privacy in the AI 6G technology 72 -- 4.8 Conclusion 74 -- 4.9 References 75 -- Chapter 5. AI-driven digital Twin Framework for Securing 6G Networks: Overarching Challenges and the Way Forward 77 Pasham SOWMYA, T. Monika SINGH and C. Kishor Kumar REDDY -- 5.1 Introduction 77 -- 5.1.1 Understanding digital twin technology 78 -- 5.1.2 Role of AI in digital twin technology 79 -- 5.1.3 Importance of security in 6G networks 80 -- 5.2 Evolution of digital twin technology in telecommunications 80 -- 5.2.1 From 4G to 5G: the transition to digital twins 80 -- 5.2.2 Key advancements leading to 6G 81 -- 5.2.3 Convergence of AI, IoT and digital twins 82 -- 5.3 Architectural foundations of AI-driven digital twins 82 -- 5.3.1 Components of a digital twin framework 82 -- 5.3.2 Integration of AI, ML and big data analytics 83 -- 5.3.3 Real-time data processing and predictive modeling 83 -- 5.4 Security challenges in 6G networks 84 -- 5.4.1 Threat landscape in 6G communication systems 84 -- 5.4.2 Cybersecurity risks and vulnerabilities 85 -- 5.4.3 Privacy and data protection concerns 86 -- 5.5 Role of AI in securing 6G networks 87 -- 5.5.1 AI-based threat detection and mitigation 87 -- 5.5.2 Anomaly detection using machine learning 87 -- 5.5.3 Predictive security models for proactive defense 89 -- 5.6 Digital twin framework for 6G security 89 -- 5.6.1 Real-time network monitoring and simulation 89 -- 5.6.2 AI-powered attack prevention and response 89 -- 5.6.3 Adaptive security policies and autonomous decision-making 90 -- 5.7 Ethical and privacy considerations 91 -- 5.7.1 Ethical use of AI in 6G security 91 -- 5.7.2 Addressing bias, transparency and accountability 91 -- 5.7.3 Privacy-preserving AI models 92 -- 5.8 Potential benefits of AI-driven digital twins in 6G 92 -- 5.8.1 Enhanced network performance and reliability 92 -- 5.8.2 Proactive threat prevention and mitigation 92 -- 5.8.3 Cost reduction and operational efficiency 93 -- 5.9 Challenges and risks in implementing AI-driven digital twins 93 -- 5.9.1 Computational and resource constraints 93 -- 5.9.2 Data integrity and reliability issues 94 -- 5.9.3 Regulatory and compliance barriers 95 -- 5.10 Future directions and innovations 95 -- 5.10.1 Emerging trends in digital twin security for 6G 95 -- 5.10.2 AI-enhanced autonomous network defense mechanisms 96 -- 5.10.3 Policy recommendations and global collaboration 97 -- 5.11 References 98 -- Chapter 6 Harnessing Artificial Intelligence and Digital Twin Technologies for Sustainable Agripreneurship: A Path Toward Smart Agriculture 107 A. IYAPPAN, G.

ILANKUMARAN and Tripuraneni JAGGAIAH -- 6.1 Introduction 107 -- 6.1.1 The call for sustainable agripreneurship in India 109 -- 6.2 Role of AI and Digital Twin in sustainable agripreneurship 110 -- 6.2.1 Precision farming and resource management 110 -- 6.2.2 Enhanced crop monitoring and predictive analytics 111 -- 6.2.3 Smart irrigation and water management 112 -- 6.2.4 Supply chain optimization 113 -- 6.2.5 Risk management and climate adaptation 115 -- 6.3 Challenges in implementing AI and digital twins for sustainability 116 -- 6.3.1 Data availability and quality 116 -- 6.3.2 Scalability 116 -- 6.3.3 Cybersecurity risks 117 -- 6.3.4 High implementation costs 117 -- 6.3.5 Skill gaps 117 -- 6.3.6 Regulatory and ethical concerns 117 -- 6.3.7 Environmental impact of technology 118 -- 6.4 Overcoming the challenges 118 -- 6.5 Practical applications of harnessing artificial intelligence and digital twin technologies for sustainable agripreneurship 119 -- 6.5.1 A path toward smart agriculture 119 -- 6.6 Conclusion 120 -- 6.7 References 120 -- Chapter 7 Role of AI and Digital Twin for Smart Transportation 123 Ritesh Gangasingh BAIS, Vipan KUMAR, Manjushri JOSHI, Jainender SHARMA,Pradnya BORKAR and Mohammad Alamgir HOSSAIN -- 7.1 Introduction 123 -- 7.1.1 Background and current challenges in urban transportation 124 -- 7.1.2 Overview of AI and DT technologies 125 -- 7.2 Related work 125 -- 7.3 Foundational concepts 127 -- 7.3.1 Defining AI in the context of smart transportation 127 -- 7.3.2 Introduction to DTs: c ...