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A Comprehensive Approach to User Delegation and Anonymity within Decentralized Identifiers for IoT.

Taehoon Kim1, Daehee Seo2, Su-Hyun Kim3

  • 1Department of Software Convergence, Soonchunhyang University, Asan 31538, Republic of Korea.

Sensors (Basel, Switzerland)
|April 13, 2024
PubMed
Summary

Decentralized Identifiers (DIDs) are enhanced for IoT security. A new scheme improves authority delegation and anonymity, strengthening data sovereignty and reducing verifiable presentation sizes.

Keywords:
anonymitydecentralized identifierdelegationnon-interactive zero-knowledge proofsequential aggregate signature

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Cryptography

Background:

  • Decentralized Identifiers (DIDs) are vital for securing digital identities and data, especially for Internet of Things (IoT) devices.
  • Existing DID systems struggle with authority delegation and anonymity requirements in sensitive contexts like legal guardianship or medical data management.

Purpose of the Study:

  • To enhance data sovereignty within the Decentralized Identifier system.
  • To implement a secure scheme for authority delegation and anonymity for DIDs.

Main Methods:

  • Utilizing a sequential aggregate signature for optimized verifiable presentations.
  • Incorporating Non-Interactive Zero-Knowledge Proofs to prevent linkage and Sybil attacks.
  • Employing Merkle trees to facilitate delegation and reduce the size of verifiable presentations.

Main Results:

  • The proposed strategy effectively mitigates security risks associated with delegation and anonymity.
  • Significant reduction in computational and verification efforts for signatures.
  • Verifiable presentation sizes are reduced by approximately 1.2 to 2 times.

Conclusions:

  • The implemented scheme strengthens data sovereignty in Decentralized Identifier systems.
  • The approach offers a secure and efficient solution for authority delegation and anonymity in DID applications.
  • This research contributes to more robust and user-centric digital identity management, particularly for IoT ecosystems.