DSVDCP: A Blockchain-Enhanced Vehicular Fog-Cloud Paradigm for Secure and Efficient Cross-Domain Data Sharing

In the context of rapid advancements in intelligent transportation technology, secure and efficient cross-domain data sharing imposes higher demands on the reliability and real-time responsiveness of transportation systems. However, the current architectures have limitations such as a lack of data traceability, coarse-grained access control, and high computational complexity, making them inadequate to meet the highly dynamic requirements of vehicular networks. In this paper, we propose Decentralized Secure Vehicular Data Collaboration Paradigm (DSVDCP) – a Vehicular Fog-Cloud cross-domain data sharing paradigm to address above challenges. The DSVDCP combines blockchain with Vehicular-Fog-Cloud Cooperative Computing to ensure the confidentiality and non-deniability in cross-domain data sharing. Furthermore, to enhance the granularity of data access control, we designed an attribute-based encryption scheme, VFC-CPABE, specifically for DSVDCP. This scheme supports multiple authorization authorities, access policy hiding, attribute revocation, and outsourced encryption and decryption, achieving fine-grained access control for cross-domain data. Based on the q-parallel BDHE assumption and detailed parameter selection analysis, we rigorously prove the IND-CPA security of the VFC-CPABE scheme in the standard model. We realized the prototype of DSVDCP, the experimental results show that, while maintaining comparable user-side decryption overhead to the current optimal schemes, VFC-CPABE reduces encryption computation overhead by more than 50% for the same number of attributes, significantly reducing the computational burden on the user side.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-04-29
DOI
https://doi.org/10.1109/jiot.2025.3565510
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25

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article

DSVDCP: A Blockchain-Enhanced Vehicular Fog-Cloud Paradigm for Secure and Efficient Cross-Domain Data Sharing

Xiaohong Fan, Yilong Liu, Haohua Du, Ziyan Yue et al.
1 citations
IEEE Internet of Things Journal
Blockchain Technology Applications and Security
3.25
article

DSVDCP: A Blockchain-Enhanced Vehicular Fog-Cloud Paradigm for Secure and Efficient Cross-Domain Data Sharing

Xiaohong Fan, Yilong Liu, Haohua Du, Ziyan Yue, Shengwei Xu
article en
1 citations

Abstract

In the context of rapid advancements in intelligent transportation technology, secure and efficient cross-domain data sharing imposes higher demands on the reliability and real-time responsiveness of transportation systems. However, the current architectures have limitations such as a lack of data traceability, coarse-grained access control, and high computational complexity, making them inadequate to meet the highly dynamic requirements of vehicular networks. In this paper, we propose Decentralized Secure Vehicular Data Collaboration Paradigm (DSVDCP) – a Vehicular Fog-Cloud cross-domain data sharing paradigm to address above challenges. The DSVDCP combines blockchain with Vehicular-Fog-Cloud Cooperative Computing to ensure the confidentiality and non-deniability in cross-domain data sharing. Furthermore, to enhance the granularity of data access control, we designed an attribute-based encryption scheme, VFC-CPABE, specifically for DSVDCP. This scheme supports multiple authorization authorities, access policy hiding, attribute revocation, and outsourced encryption and decryption, achieving fine-grained access control for cross-domain data. Based on the q-parallel BDHE assumption and detailed parameter selection analysis, we rigorously prove the IND-CPA security of the VFC-CPABE scheme in the standard model. We realized the prototype of DSVDCP, the experimental results show that, while maintaining comparable user-side decryption overhead to the current optimal schemes, VFC-CPABE reduces encryption computation overhead by more than 50% for the same number of attributes, significantly reducing the computational burden on the user side.

IEEE Internet of Things JournalVol. 12(14)
Beijing University of Posts and Telecommunications (CN), Beijing Electronic Science and Technology Institute (CN), Beihang University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 9%
Blockchain Technology Applications and Security
3.25
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