摘要
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 paper 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.
原文 | ???core.languages.en_GB??? |
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期刊 | IEEE Internet of Things Journal |
DOIs | |
出版狀態 | 已被接受 - 2024 |