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Decentralized Identity Explained

You're reading from   Decentralized Identity Explained Embrace decentralization for a more secure and empowering digital experience

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781804617632
Length 392 pages
Edition 1st Edition
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Author (1):
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Rohan Pinto Rohan Pinto
Author Profile Icon Rohan Pinto
Rohan Pinto
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Table of Contents (22) Chapters Close

Preface 1. Part 1 - Digital Identity Era: Then
2. Chapter 1: The History of Digital Identity FREE CHAPTER 3. Chapter 2: Identity Management Versus Access Management 4. Part 2 - Digital Identity Era: Now
5. Chapter 3: IAM Best Practices 6. Chapter 4: Trust Anchors/Sources of Truth and Their Importance 7. Chapter 5: Historical Source of Authority 8. Chapter 6: The Relationship between Trust and Risk 9. Chapter 7: Informed Consent and Why It Matters 10. Chapter 8: IAM – the Security Perspective 11. Part 3 - Digital Identity Era: The Near Future
12. Chapter 9: Self-Sovereign Identity 13. Chapter 10: Privacy by Design in the SSI Space 14. Chapter 11: Relationship between DIDs and SSI 15. Chapter 12: Protocols and Standards – DID Standards 16. Chapter 13: DID Authentication 17. Chapter 14: Identity Verification 18. Part 4 - Digital Identity Era: A Probabilistic Future
19. Chapter 15: Biometrics Security in Distributed Identity Management 20. Index 21. Other Books You May Enjoy

Cons of using historical sources of truth for verification of identity data

Using historical data sources of authority for identity verification has its downsides, and organizations must be aware of these issues to establish a strong and safe identity verification procedure. The disadvantages of depending only on historical data sources are data accuracy, data privacy, security risks, possible biases, and the requirement for constant updates. To address these issues, integrating complementary techniques such as data validation, MFA, data anonymization, and frequent data audits can considerably improve the identity verification process’ dependability and trustworthiness. Let’s take a closer look:

  • Data accuracy and currency:
    • Con: Historical data sources may have mistakes as a result of obsolete or stale information. People’s addresses, names, and other personal information change with time, rendering previous data less dependable for proper identification...
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