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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

Repercussions of a weak SIEM system

Inadequate data source inclusion is one of the fundamental reasons for poor SIEM deployment. SIEM systems rely on a diverse set of logs and data inputs from a variety of devices and apps. The system’s capacity to connect events and detect threats is hampered by a lack of comprehensive data sources. The appropriate configuration of rules and correlation mechanisms is required for effective SIEM functioning. Inadequate rule sets or incorrectly designed correlation settings may result in missing occurrences or a large number of false positives. Bad log management practices frequently accompany bad SIEM installation. Inconsistent log collection, retention, and storage might result in missing historical data or restrict the system’s capacity to investigate previous problems. SIEM systems can be resource-intensive, both in terms of hardware and software. Inadequate resource allocation may lead to system slowdowns, missed events, or unattended...

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