A Decentralized Approach to Parking Space Management With Fine-Grained Permission Level Using Blockchain Technology

With the rising demand for parking spaces, effective management and allocation of parking resources have become increasingly crucial. Traditional intelligent transportation systems often rely on various sensors to gather parking space information, which is then transmitted to centralized servers for data analysis and storage. This approach poses security risks, such as single points of failure and system strain during peak periods, due to increased data transmission and processing. Additionally, the surge in user activity can degrade system performance. To address these issues, this article introduces a parking space search system that records parking information on a blockchain to ensure data integrity and incorporates fine-grained permission management. By utilizing threshold attribute-based encryption, our approach effectively reduces system burden during peak periods. Experimental results show that our system achieves a delay reduction ranging from 22% to 85.6% compared to the current schemes as the number of vehicles increases. These results underscore the practical security and feasibility of our proposed solution.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-10-10
DOI
https://doi.org/10.1109/jiot.2024.3477635
Citations
1
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
0.27

Funders

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article

A Decentralized Approach to Parking Space Management With Fine-Grained Permission Level Using Blockchain Technology

Lo‐Yao Yeh, Jiun‐Long Huang, C.-H Hung, Po-Ting Tsai
1 citations
IEEE Internet of Things Journal
Smart Parking Systems Research
0.27
article

A Decentralized Approach to Parking Space Management With Fine-Grained Permission Level Using Blockchain Technology

Lo‐Yao Yeh, Jiun‐Long Huang, C.-H Hung, Po-Ting Tsai
article en
1 citations

Abstract

With the rising demand for parking spaces, effective management and allocation of parking resources have become increasingly crucial. Traditional intelligent transportation systems often rely on various sensors to gather parking space information, which is then transmitted to centralized servers for data analysis and storage. This approach poses security risks, such as single points of failure and system strain during peak periods, due to increased data transmission and processing. Additionally, the surge in user activity can degrade system performance. To address these issues, this article introduces a parking space search system that records parking information on a blockchain to ensure data integrity and incorporates fine-grained permission management. By utilizing threshold attribute-based encryption, our approach effectively reduces system burden during peak periods. Experimental results show that our system achieves a delay reduction ranging from 22% to 85.6% compared to the current schemes as the number of vehicles increases. These results underscore the practical security and feasibility of our proposed solution.

IEEE Internet of Things JournalVol. 12(3)
National Yang Ming Chiao Tung University (TW), National Central University (TW)
National Science and Technology Council
Sustainable cities and communities
Openalex Percentile: Top 43%
Smart Parking Systems Research
0.27
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A Decentralized Approach to Parking Space Management With Fine-Grained Permission Level Using Blockchain Technology — Lo‐Yao Yeh, Jiun‐Long Huang, et al. · IEEE Internet of Things Journal (2024) | TGRS Research Map | TGRS