Preface xix Acknowledgement xxi 1 Balancing Innovation and Privacy: Navigating the Landscape of Digital Twin Ecosystems 1 Manish Kumar Panday, Manish Baboo Agarwal, Manu Mehrotra and Seema Agarwal 1.1 Overview of Digital Twin Ecosystems (DTEs) 2 1.2 Developing Digital Twins Further 3 1.3 Privacy Concerns Related to Digital Twins Ecosystem 7 1.4 Benefits of Decentralization 9 1.5 Encryption Techniques and Data Security 9 1.6 Compliance with Governance and Other Policies 10 1.7 Approaches to Shifting to Proactively Protective Measures for Digital Privacy 12 1.
8 Conclusion 15 2 Digital Twins and Privacy: Navigating the Nexus of Innovation and Data Protection 23 Ashima Kalra, Bhawna Tandon and Panchal Sandeep Govindrao 2.1 Introduction 24 2.2 Digital Twins: Foundations and Use Cases 27 2.3 Privacy Threats in Digital Twin Environments 32 2.4 Legal and Regulatory Landscape 34 2.5 Privacy-Preserving Techniques for Digital Twins 37 2.6 Ethical and Societal Considerations 41 2.7 Case Studies and Real-World Challenges 44 2.
8 Future Directions and Open Research Problems in Privacy-Preserving Digital Twin Systems 48 2.9 Conclusion 51 3 Privacy in Smart City Digital Twin 57 Lingaraj K., S. Supreeth, Rashmi Laxmikant M., Karthik Rao M. C., Lalit Garg and D. Viswanath Reddy 3.
1 Introduction 58 3.2 Understanding Smart City Digital Twins 61 3.3 Privacy Challenges in Smart City Digital Twins 68 3.4 Privacy by Design in SCDT Architectures 72 3.5 Legal and Ethical Frameworks 80 3.6 Case Studies 89 3.7 Future Directions 93 4 Future Trends and Emerging Challenges in Digital Twins 101 Kavita Arora, Neha Gupta and Wanqing Tu 5 The Future of Privacy in Digital Twin Ecosystems 137 Anandkumar Pardeshi and Sujata Deshmukh 5.1 Introduction 138 5.
2 Privacy Threats in Digital Twin Ecosystems 141 5.3 Adaptive Privacy-Preserving Mechanisms in Digital Twin Ecosystems 145 5.4 Decentralized Identity and User-Controlled Privacy in Digital Twin Ecosystems 149 5.5 Next-Generation Technologies and Privacy Implications in Digital Twin Ecosystems 153 5.6 Regulatory and Ethical Considerations in Digital Twin Ecosystems 156 5.7 Case Studies and Industry Applications of Privacy-Preserving Digital Twins 161 5.8 Future Research Directions in Digital Twin Privacy 165 5.9 Conclusion 167 6 The Future of Privacy in Digital Twin Ecosystems: Risks, Technologies, and Regulations 175 Sandhya Soman, Suresh K.
, Gnanasankaran Natarajan and Sundaravadivazhagan Balasubramaniam 6.1 Introduction 176 6.2 Digital Twin Ecosystem: An Overview 177 6.3 Privacy Challenges in the Digital Twin Ecosystems 185 6.4 The Future of Privacy in Digital Twin Ecosystems 195 6.5 Future Trends and Predictions 202 6.6 Conclusion and Research Directions 207 7 Privacy in the Age of Digital Twins 215 Shobha Chawla, Neha Gupta, Vijayalaxmi Rajendran and Akhilesh Tiwari 7.1 Introduction 216 7.
2 Security Threats to Digital Twins 220 7.3 Design of Data Privacy Law 229 7.4 Strategies for Securing Digital Twins 233 7.5 Privacy by Design 237 8 AI and ML for Privacy-Preserving Digital Twins: Challenges and Opportunities 245 Raj Kishor Verma, Gaurav Agarwal and Nitin Pandey 8.1 Introduction 246 8.2 Literature Review 257 8.3 Proposed Worked 260 8.4 Conclusion 268 8.
5 Future and Scope 268 8.6 Opportunities and Challenges 269 9 Federated Explainable Hybrid Learning Framework (FEHLF) for Real-Time, Resource-Constrained Big Data Applications 273 Tamanna Sharma, Neha Arya, Chirag Sharma and Sonam Nagpal 10 Revolutionizing Healthcare: Digital Twins and the Role of Cyber Physical Systems in Modern Medicine 311 Krishna Pandey, Suman Kumari, Rhythma Badola and Rahul Joshi 10.1 Introduction 312 10.2 Cyber-Physical System 313 10.3 Evolution of Cloud Security Enabled DT 314 10.4 Effective Competence in Hospital Using DT 316 10.5 DT in Device Development 317 10.6 Medical Devices, Medical Testing and Treatments, and Medical Wearables 319 10.
7 Regulatory Services 320 10.8 DT Frameworks in Healthcare 320 10.9 Cyber Flexibility in Healthcare and DT 321 10.10 CPS and DT 323 10.11 Advantages and Limitations of DT 325 10.12 Conclusion and Future Scope 327 11 Safeguarding Privacy and Security in AI-Powered Healthcare Systems 333 Arpita Maheriya and Sailesh Suryanarayan Iyer 11.1 Introduction 334 11.2 Background Study 337 11.
3 Challenges in Building Secure AI-Based Healthcare Data System 339 11.4 Frameworks, Acts, and Policies for Data Privacy Protection 341 11.5 Attacks on AI Healthcare Model 345 11.6 Privacy-Preserving Techniques 346 11.7 Quantum Healthcare Data 358 11.8 Future Research Directions 359 11.9 Conclusion 362 12 Neuro-Symbolic AI for Cardiovascular Pharmacovigilance: A Holistic Approach to Drug-Induced Cardiotoxicity 367 Jossy P. George, Kamal Upreti and Bosco Paul Alapatt 12.
1 Introduction 368 12.2 Overview of Cardiovascular Drug Safety Concerns 368 12.3 The Clinical Burden of Drug-Induced Cardiotoxicity 369 12.4 Challenges with Traditional PV Systems 371 12.5 Motivation for AI Integration--Need for Explainability and Clinical Trust 372 12.6 Background and Theoretical Foundations 375 12.7 Future Directions 390 12.8 Conclusion 390 13 Cloud Computing in Education: Challenges, Limitations and Future Prospect 397 Arun Kumar Rana, Mandeep Kaur, Sumit Kumar Rana, Deepak Kumar and Maksud Alam 13.
1 Introduction 398 13.2 What is Cloud Computing? 399\ 13.3 The Role of Cloud Computing in Education 399 13.4 Benefits of Cloud Computing in Education 402 13.5 Challenges and Limitations 406 13.6 Future Prospects of Cloud Computing in Education 408 13.7 Conclusion 408 14 Cloud Computing Security: Challenges and Solutions with Emerging Trends and Future Directions 413 Arun Kumar Rana, Nada Ratkovic, Kamalakanta Muduli, Sumit Kumar Rana, Deepak Kumar and Mohit Mittal 14.1 Introduction 414 14.
2 Cloud Computing Models and Architectures 414 14.3 Security Challenges in Cloud Computing 415 14.4 Security Solutions and Best Practices 419 14.5 Emerging Trends and Future Directions 423 14.6 Conclusion 425 15 Author Royalty Distribution System Using Blockchain Technology 429 Konki Mohit and R. Kanniga Devi 15.1 Introduction 430 15.2 Literature Review 433 15.
3 Proposed System 448 15.4 Methodology 453 15.5 Models 459 15.6 Results and Discussion 462 15.7 Conclusion and Future Work 467 16 LCR Circuit Analysis of Incident Angle Metamaterial Absorber for Double-Band Wi-Fi Applications in IoT-Based Sensors: A Mathematical Insight 471 Ram Krishna, Harendra Singh, Arun Kumar Rana, Anurag Singh and Avinash Kumar 16.1 Introduction 472 16.2 Generalized Model of Transmission Line for the Nonseparated Absorber 475 16.3 Suggested Double-Band Absorber Circuit Model 477 16.
4 Estimated Value of Resistance of Each LCR by Equivalent Circuit Analysis 481 16.5 Computation of the Absorber''s Size 486 16.6 Discussion 487 16.7 Conclusion 491 17 Digital Twin Technology in Education: Applications, Benefits, Challenges, Ethical Issues and Security Concerns 499 Ankur Nandi, Milan Barman, Sourav Sen, Tapash Das and Tarini Halder 17.1 Introduction 500 17.2 Objectives 501 17.3 Methodology 501 17.4 Discussion 502 17.
5 Conclusion 513 Bibliography 514 18 Navigating the Future: Cloud Computing''s Progress and Challenges in Healthcare 521 Arun Kumar Rana, Sumit Kumar Rana, Deepak Kumar, Ram Krishna, Anurag Singh and Harendra Singh 18.1 What is Cloud Computing? 522 18.2 Advantages of Cloud Computing in Healthcare 523 18.3 Challenges of Cloud Computing in Healthcare 525 18.4 Cloud Computing Models in Healthcare 526 18.5 Use Cases of Cloud Computing in Healthcare 527 18.6 Future Trends and Opportunities 529 Conclusion 531 References 532 Index 535.