A Privacy-Preserving Cross-Domain Authentication and Key Agreement Scheme via Multiblockchains for Smart Cities

The requirement of devices to access data cross-domain in smart cities is expanding. The blockchain-based cross-domain authentication and key agreement (AKA) ensures the cross-domain data interaction security. However, the AKA scheme based on single-blockchain has the problem of high on-chain storage burden, risk of domain privacy leakage and inadequate privacy protection caused by the transparency of blockchain. Therefore, a multiblockchain-based cross-domain AKA scheme is proposed in this article. First, a multiblockchain model is designed to support cross-domain authentication. The model consists of two layers. The upper-layer blockchain records brief device identity information used for cross-domain authentication. The under-layer blockchain stores complete device identity information. Second, based on elliptic curve discrete logarithm problem (ECDLP) theory, cross-domain authentication is designed to meet the requirements of security of data exchange between blockchains, and meet the privacy-preserving. Finally, security analysis and performance analysis are conducted. The proposed scheme achieves better cross-domain data interaction security and privacy protection. These improvements are achieved with performance that outperforms single-blockchain-based schemes and is either comparable to or slightly better than multiblockchain-based schemes.

Authors

Institutions

Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-09-09
DOI
https://doi.org/10.1109/jiot.2025.3607798
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

A Privacy-Preserving Cross-Domain Authentication and Key Agreement Scheme via Multiblockchains for Smart Cities

Simcha Vos, Jie Huang, Rob Vos, Jiazhou Zeng
IEEE Internet of Things Journal
Blockchain Technology Applications and Security
article

A Privacy-Preserving Cross-Domain Authentication and Key Agreement Scheme via Multiblockchains for Smart Cities

Simcha Vos, Jie Huang, Rob Vos, Jiazhou Zeng
article en

Abstract

The requirement of devices to access data cross-domain in smart cities is expanding. The blockchain-based cross-domain authentication and key agreement (AKA) ensures the cross-domain data interaction security. However, the AKA scheme based on single-blockchain has the problem of high on-chain storage burden, risk of domain privacy leakage and inadequate privacy protection caused by the transparency of blockchain. Therefore, a multiblockchain-based cross-domain AKA scheme is proposed in this article. First, a multiblockchain model is designed to support cross-domain authentication. The model consists of two layers. The upper-layer blockchain records brief device identity information used for cross-domain authentication. The under-layer blockchain stores complete device identity information. Second, based on elliptic curve discrete logarithm problem (ECDLP) theory, cross-domain authentication is designed to meet the requirements of security of data exchange between blockchains, and meet the privacy-preserving. Finally, security analysis and performance analysis are conducted. The proposed scheme achieves better cross-domain data interaction security and privacy protection. These improvements are achieved with performance that outperforms single-blockchain-based schemes and is either comparable to or slightly better than multiblockchain-based schemes.

IEEE Internet of Things JournalVol. 12(23)
Hanze University of Applied Sciences (NL), Fuzhou University (CN), Delft University of Technology (NL)
Openalex Percentile: Top 64%
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.