MDID: a multi-layer blockchain-based secure and scalable decentralized identity scheme for web 3.0

The rapid evolution of Web 3.0 demands decentralized identity management systems that are secure and scalable. Existing Decentralized Identity (DID) solutions struggle with single points of failure (SPOF), forgeability, and limited scalability challenges, restricting their applicability in large-scale ecosystems. To address these challenges, we propose MDID, a multi-layer blockchain-based DID framework optimized for Web 3.0. MDID features a four-layer architecture that enhances interoperability and scalability across diverse DID systems. Security is reinforced through the Redundant Byzantine Fault Tolerance (RBFT) consensus protocol and the threshold signature algorithm, ensuring robust decentralization, SPOF mitigation, and unforgeability. The introduction of the Sharded Merkle Patricia Tree (SMPT) further optimizes DID management by enabling rapid and efficient storage and retrieval of (DID, Metadata) key-value pairs. Experimental results demonstrate MDID’s superior performance, achieving cross-domain credential verification in 2 seconds, maintaining high operational efficiency in large-scale environments, and offering strong resistance to identity forgery and system disruptions. This work lays a critical foundation for advancing secure, scalable, and efficient decentralized identity management in Web 3.0 ecosystems.

Authors

Institutions

Publication Details

Journal
Journal of King Saud University - Computer and Information Sciences
Published
2026-01-14
DOI
https://doi.org/10.1007/s44443-025-00462-z
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MDID: a multi-layer blockchain-based secure and scalable decentralized identity scheme for web 3.0

Qi Yu, Saaidal Razalli Azzuhri, Atikah Razali, Rosli Salleh
Journal of King Saud University - Computer and Information Sciences
Blockchain Technology Applications and Security
article

MDID: a multi-layer blockchain-based secure and scalable decentralized identity scheme for web 3.0

Qi Yu, Saaidal Razalli Azzuhri, Atikah Razali, Rosli Salleh
article en

Abstract

The rapid evolution of Web 3.0 demands decentralized identity management systems that are secure and scalable. Existing Decentralized Identity (DID) solutions struggle with single points of failure (SPOF), forgeability, and limited scalability challenges, restricting their applicability in large-scale ecosystems. To address these challenges, we propose MDID, a multi-layer blockchain-based DID framework optimized for Web 3.0. MDID features a four-layer architecture that enhances interoperability and scalability across diverse DID systems. Security is reinforced through the Redundant Byzantine Fault Tolerance (RBFT) consensus protocol and the threshold signature algorithm, ensuring robust decentralization, SPOF mitigation, and unforgeability. The introduction of the Sharded Merkle Patricia Tree (SMPT) further optimizes DID management by enabling rapid and efficient storage and retrieval of (DID, Metadata) key-value pairs. Experimental results demonstrate MDID’s superior performance, achieving cross-domain credential verification in 2 seconds, maintaining high operational efficiency in large-scale environments, and offering strong resistance to identity forgery and system disruptions. This work lays a critical foundation for advancing secure, scalable, and efficient decentralized identity management in Web 3.0 ecosystems.

Journal of King Saud University - Computer and Information SciencesVol. 38(2)
University of Malaya (MY), Northeastern University (CN)
Life in Land
Openalex Percentile: Top 93%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.