Decentralized Identity Management Systems for Web3 Ecosystems

Authors

  • Oscar Popescu Associate Professor, Department of Machine Learning, Advanced Computing University, Paris, France Author
  • Helena Hansen Postdoctoral Researcher, Department of Machine Learning, Western Europe Data Science University, Madrid, Spain Author
  • Eva Novak Senior Lecturer, School of Data Science, Advanced Computing University, Paris, France Author

Keywords:

decentralised identity, self-sovereign identity, verifiable credentials, ENS, soulbound tokens, zero-knowledge identity, social recovery, cross-chain identity

Abstract

Web3 promised to give users control over their digital identity. Five years in, the reality is messier. Most dApp users still authenticate with a bare Ethereum address -- a 42-character hex string with no name, no reputation, no credentials, and no recovery mechanism if the private key is lost. The decentralised identity stack that was supposed to fix this -- DIDs, verifiable credentials, ENS names, soulbound tokens, and zero-knowledge proofs of personhood -- exists in fragments that do not interoperate. We present the Web3 Identity Management Assessment Framework (W3IMAF), a systematic evaluation of six decentralised identity approaches -- ENS-style naming, DID-based self-sovereign identity, soulbound token reputation, zero-knowledge credential proving, social recovery wallets, and cross-chain identity aggregation -- tested on a unified identity testbed that measures resolution latency, credential verification speed, privacy preservation, GDPR compliance, recovery robustness, and cross-platform portability. Our Identity Quality Score (IQS) shows that DID-based SSI with ZK credential proofs achieves the highest overall quality (0.908) but social recovery wallets solve the most urgent practical problem -- key loss, which causes an estimated USD 4-6 billion in permanently inaccessible crypto assets annually.

Author Biographies

  • Oscar Popescu, Associate Professor, Department of Machine Learning, Advanced Computing University, Paris, France

    Associate Professor, Department of Machine Learning, Advanced Computing University, Paris, France

  • Helena Hansen, Postdoctoral Researcher, Department of Machine Learning, Western Europe Data Science University, Madrid, Spain

    Postdoctoral Researcher, Department of Machine Learning, Western Europe Data Science University, Madrid, Spain

  • Eva Novak, Senior Lecturer, School of Data Science, Advanced Computing University, Paris, France

    Senior Lecturer, School of Data Science, Advanced Computing University, Paris, France

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Published

2025-06-28

How to Cite

Decentralized Identity Management Systems for Web3 Ecosystems. (2025). Blockchain, Web3 & Digital Trust Journal P-ISSN 3117-597X and E-ISSN 3117-5988, 2(2), 47-56. https://galaxiauniverse.com/index.php/BWDTJ/article/view/452