| アイテムタイプ |
共通アイテムタイプ(1) |
| 公開日 |
2025-08-08 |
| タイトル |
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タイトル |
Implementation of Smart Contract-based Audit System of Vehicles with Data Misdelivery |
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言語 |
en |
| 著者 |
Tomita, Hikaru
Yamamoto, Hiroshi
野林, 大起
池永, 全志
塚本, 和也
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| 著作権関連情報 |
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権利情報 |
Copyright (c) 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes on Data Engineering and Communications Technologies. The final authenticated version is available online at: https://doi.org/10.1007/978-3-031-72322-3_40.” |
|
言語 |
en |
| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
With the advancement of Internet of Things (IoT) technology, various types of IoT data are being generated. Among these are spatio-temporal data (STD), which are related to specific times and locations, and STD-RS, which uses vehicles to distribute these data. However, there is a risk of vehicles with location errors distributing data outside the designated area. Previous research proposed a system using a multi-layered blockchain to detect and audit such vehicles, which has been validated through simulations but not yet in real-world settings. This study implements this detection and audit mechanism using smart contracts and a multi-layered blockchain in a real-world setting. We evaluate performance on actual devices, using configurations that closely resemble the simulations. Our method involves storing STD hash values and area information in a smart contract to identify malfunctioning vehicles. To implement this, we utilized Ethereum for smart contract deployment, with Geth as the CUI Ethereum node, and the web3.js library in Node.js for writing to Ethereum blocks. Additionally, we employed Solidity to develop the smart contracts and GraphQL to specify the search range within the blockchain. The results show that as the scale of the data increases, the search time also increases, with real-world implementation reflecting similar characteristics to simulations. Furthermore, we confirmed that the rate of increase in search time per unit of data scale differs between simulations and real-world scenarios due to application variance. The implementation results show linearly increasing search time per data size, concluding equivalent scalability to the simulation. |
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言語 |
en |
| 備考 |
|
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内容記述タイプ |
Other |
|
内容記述 |
The 16th International Conference on Intelligent Networking and Collaborative Systems (InCoS-2024), Workshop of The 16th International Workshop on Information Network Design (WIND-2024), September 19 - 21, 2024, Soonchunhyang (SCH) University, Asan, South Korea |
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言語 |
en |
| 書誌情報 |
en : Lecture Notes on Data Engineering and Communications Technologies
巻 225,
発行日 2024-09-15
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| 出版社 |
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出版者 |
Springer |
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言語 |
en |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| DOI |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.1007/978-3-031-72322-3_40 |
| ISSN |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
2367-4512 |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
2367-4520 |
| 会議記述 |
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|
会議名 |
The 16th International Conference on Intelligent Networking and Collaborative Systems (InCoS-2024), Workshop of The 16th International Workshop on Information Network Design (WIND-2024) |
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|
言語 |
en |
|
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開始年 |
2024 |
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開始月 |
09 |
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開始日 |
19 |
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終了年 |
2024 |
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終了月 |
09 |
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終了日 |
21 |
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開催会場 |
Soonchunhyang (SCH) University |
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言語 |
en |
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開催地 |
Asan |
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言語 |
en |
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開催国 |
KOR |
| 研究者情報 |
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|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/218_ja.html |
| 研究者情報 |
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|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/81_ja.html |
| 論文ID（連携） |
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|
値 |
10461715 |
| 連携ID |
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|
値 |
14751 |
10461715.pdf (823 KB)
