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Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing

  • Umesh Kumar Lilhore , Leena Arya , Yogesh Kumar Sharma und Ravi Rastogi
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Industrial Quantum Computing
Ein Kapitel aus dem Buch Industrial Quantum Computing

Abstract

The advent of the sixth generation of wireless communication technology, called 6G, brings many more possibilities for the development and evolution of the Internet of things (IoT) and the consequent improvements in our day-to-day lives in the era of quantum computing. The chapter provides a comprehensive look at the complexities of integrating 6G networks with IoT devices, from smart home sensors to industrial ones. It explores the finiteness of resources and the transition path to a sustainable future, including targets, deadlines, and ways of defining and achieving them. Moreover, it stresses the importance of privacy preservation technologies and user-oriented controls for people to have the self-determination to choose and manage their personal information. As security is the main challenge, there should be some measures that can be implemented to ensure that stringent protocols and quantum-safe solutions are used to face these complexities. The chapter offers insights into the critical issues surrounding privacy and security in 6G IoT networks and suggestions for addressing these challenges effectively.

Abstract

The advent of the sixth generation of wireless communication technology, called 6G, brings many more possibilities for the development and evolution of the Internet of things (IoT) and the consequent improvements in our day-to-day lives in the era of quantum computing. The chapter provides a comprehensive look at the complexities of integrating 6G networks with IoT devices, from smart home sensors to industrial ones. It explores the finiteness of resources and the transition path to a sustainable future, including targets, deadlines, and ways of defining and achieving them. Moreover, it stresses the importance of privacy preservation technologies and user-oriented controls for people to have the self-determination to choose and manage their personal information. As security is the main challenge, there should be some measures that can be implemented to ensure that stringent protocols and quantum-safe solutions are used to face these complexities. The chapter offers insights into the critical issues surrounding privacy and security in 6G IoT networks and suggestions for addressing these challenges effectively.

Kapitel in diesem Buch

  1. Frontmatter I
  2. Contents V
  3. List of contributors VII
  4. Chapter 1 Quantum computing in society: impacts and implications 1
  5. Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
  6. Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
  7. Chapter 4 Highlighting major issues with quantum computing in healthcare 53
  8. Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
  9. Chapter 6 Can quantum computers revolutionize health systems? 87
  10. Chapter 7 Industrial automation and quantum computing 105
  11. Chapter 8 Applications of quantum computing in financial planning and financial control 127
  12. Chapter 9 Quantum computing in machine learning: an overview 141
  13. Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
  14. Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
  15. Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
  16. Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
  17. Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
  18. Chapter 15 Quantum computing in drug and chemical 255
  19. Index 279
https://doi.org/10.1515/9783111354842-005

Kapitel in diesem Buch

  1. Frontmatter I
  2. Contents V
  3. List of contributors VII
  4. Chapter 1 Quantum computing in society: impacts and implications 1
  5. Chapter 2 Quantum computing with machine learning: opportunities and challenges 19
  6. Chapter 3 Quantum machine learning algorithms: a comprehensive review 37
  7. Chapter 4 Highlighting major issues with quantum computing in healthcare 53
  8. Chapter 5 Privacy and security for 6G’s IoT-connected future in the age of quantum computing 67
  9. Chapter 6 Can quantum computers revolutionize health systems? 87
  10. Chapter 7 Industrial automation and quantum computing 105
  11. Chapter 8 Applications of quantum computing in financial planning and financial control 127
  12. Chapter 9 Quantum computing in machine learning: an overview 141
  13. Chapter 10 The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women’s empowerment 155
  14. Chapter 11 Quantum computing and machine learning: a symbiotic relationship 177
  15. Chapter 12 Quantum-secured healthcare data and cybersecurity innovations in the era of Industry 5.0 199
  16. Chapter 13 Introduction to quantum computing and its revolution in industry and society 219
  17. Chapter 14 Advancing healthcare through the opportunities and challenges of quantum computing 239
  18. Chapter 15 Quantum computing in drug and chemical 255
  19. Index 279
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Heruntergeladen am 30.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/9783111354842-005/html
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