Multi-Authority CP-ABE Scheme With Cryptographic Reverse Firewalls for Internet of Vehicles

Internet of vehicles, featured with widely distributed vehicle nodes and limited computing power, usually have high performance requirements. Because of this feature, efficient and reliable access control has raised a challenge in Internet of vehicles. Ciphertext-policy attribute-based encryption (CP-ABE) could be denoted as an efficient solution for this problem. However, directly applying traditional single-authority CP-ABE schemes may result in single-point performance bottleneck. Besides, the secrets of the whole system may be leaked if any node is attacked. To solve these challenging tasks, we proposed MA-CP-ABE-CRF, a multi-authority CP-ABE scheme with cryptographic reverse firewalls. The system is designed to grant vehicles fine-grained access control by encrypting data under vehicle attributes. Besides, load balancing of authorization in distributed systems is achieved based on the characteristic of multi-authority. Meanwhile, specific nodes are equipped with cryptographic reverse firewalls (CRFs) to prevent information leakage. As the first scheme with the above features for Internet of vehicles, the system achieves adaptive CPA-security and ASA-security. Through rigorous theoretical analysis and experimental comparison, MA-CP-ABE-CRF is proved to be highly efficient and practical.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-02-04
DOI
https://doi.org/10.1109/tits.2025.3533757
Citations
6
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
4.38

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-Authority CP-ABE Scheme With Cryptographic Reverse Firewalls for Internet of Vehicles

Kuo‐Hui Yeh, Hui Su, Lin Ye, Hu Xiong
6 citations
IEEE Transactions on Intelligent Transportation Systems
Vehicular Ad Hoc Networks (VANETs)
4.38
article

Multi-Authority CP-ABE Scheme With Cryptographic Reverse Firewalls for Internet of Vehicles

Kuo‐Hui Yeh, Hui Su, Lin Ye, Hu Xiong
article en
6 citations

Abstract

Internet of vehicles, featured with widely distributed vehicle nodes and limited computing power, usually have high performance requirements. Because of this feature, efficient and reliable access control has raised a challenge in Internet of vehicles. Ciphertext-policy attribute-based encryption (CP-ABE) could be denoted as an efficient solution for this problem. However, directly applying traditional single-authority CP-ABE schemes may result in single-point performance bottleneck. Besides, the secrets of the whole system may be leaked if any node is attacked. To solve these challenging tasks, we proposed MA-CP-ABE-CRF, a multi-authority CP-ABE scheme with cryptographic reverse firewalls. The system is designed to grant vehicles fine-grained access control by encrypting data under vehicle attributes. Besides, load balancing of authorization in distributed systems is achieved based on the characteristic of multi-authority. Meanwhile, specific nodes are equipped with cryptographic reverse firewalls (CRFs) to prevent information leakage. As the first scheme with the above features for Internet of vehicles, the system achieves adaptive CPA-security and ASA-security. Through rigorous theoretical analysis and experimental comparison, MA-CP-ABE-CRF is proved to be highly efficient and practical.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(4)
National Yang Ming Chiao Tung University (TW), University of Electronic Science and Technology of China (CN), Shanghai Jiao Tong University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 6%
Vehicular Ad Hoc Networks (VANETs)
4.38
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.