利用区块链技术实现具有细粒度许可级别的分散式停车位管理方法

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Lo-Yao Yeh;Chia-Hsien Hung;Po-Ting Tsai;Jiun-Long Huang
{"title":"利用区块链技术实现具有细粒度许可级别的分散式停车位管理方法","authors":"Lo-Yao Yeh;Chia-Hsien Hung;Po-Ting Tsai;Jiun-Long Huang","doi":"10.1109/JIOT.2024.3477635","DOIUrl":null,"url":null,"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.","PeriodicalId":54347,"journal":{"name":"IEEE Internet of Things Journal","volume":"12 3","pages":"2749-2762"},"PeriodicalIF":8.9000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Decentralized Approach to Parking Space Management With Fine-Grained Permission Level Using Blockchain Technology\",\"authors\":\"Lo-Yao Yeh;Chia-Hsien Hung;Po-Ting Tsai;Jiun-Long Huang\",\"doi\":\"10.1109/JIOT.2024.3477635\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":54347,\"journal\":{\"name\":\"IEEE Internet of Things Journal\",\"volume\":\"12 3\",\"pages\":\"2749-2762\"},\"PeriodicalIF\":8.9000,\"publicationDate\":\"2024-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Internet of Things Journal\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10713251/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Internet of Things Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10713251/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

随着停车位需求的增加,有效管理和分配停车资源变得越来越重要。传统的智能交通系统通常依靠各种传感器收集停车位信息,然后将这些信息传输到集中的服务器进行数据分析和存储。由于数据传输和处理的增加,这种方法会带来安全风险,例如单点故障和高峰期间的系统紧张。此外,用户活动的激增会降低系统性能。为了解决这些问题,本文介绍了一个停车位搜索系统,该系统在区块链上记录停车信息,以确保数据完整性,并集成了细粒度的权限管理。通过使用基于阈值属性的加密,我们的方法有效地减少了高峰期间的系统负担。实验结果表明,随着车辆数量的增加,与现有方案相比,我们的系统实现了22% ~ 85.6%的延迟减少。这些结果强调了我们提出的解决方案的实际安全性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信