Decentralized identifiers based IoT data trusted collection
Abstract The data collection processes of IoT devices face significant security challenges, including access authorization, secure transmission, and secure storage. These challenges are particularly critical in sectors such as smart healthcare, smart homes, and smart cities, where users often lack d...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-89589-7 |
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| _version_ | 1823862281994240000 |
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| author | Baitao Zhang Rui Shi Xiaolin Li Mengjiao Zhang |
| author_facet | Baitao Zhang Rui Shi Xiaolin Li Mengjiao Zhang |
| author_sort | Baitao Zhang |
| collection | DOAJ |
| description | Abstract The data collection processes of IoT devices face significant security challenges, including access authorization, secure transmission, and secure storage. These challenges are particularly critical in sectors such as smart healthcare, smart homes, and smart cities, where users often lack direct ownership or control over IoT devices. Various solutions have been proposed to address these issues, leveraging technologies such as Certificate Authorities (CAs) and blockchain. However, the CA model is inherently centralized, while blockchain-based solutions suffer from relatively low efficiency. To overcome these limitations, this article introduces a trust model for IoT data collection based on Decentralized Identifiers (DIDs) and proposes a novel IoT data security collection scheme, called TrID. TrID employs a distributed architecture to resolve the centralization problem and operates independently of blockchain, significantly enhancing both the security and efficiency of IoT data collection. The experiment shows that the authentication time cost of TrID in the mutual authentication protocol is only 10% of on-chain solutions, and the decryption of 10 MB of data with 1000 KB encrypted block size, requires less than 100 ms. |
| format | Article |
| id | doaj-art-1d6f012cc64b4af896dd5daa50f4b9ce |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-1d6f012cc64b4af896dd5daa50f4b9ce2025-02-09T12:35:43ZengNature PortfolioScientific Reports2045-23222025-02-0115111410.1038/s41598-025-89589-7Decentralized identifiers based IoT data trusted collectionBaitao Zhang0Rui Shi1Xiaolin Li2Mengjiao Zhang3School of Cyber Science and Technology, University of Science and Technology of ChinaSchool of Cyberspace Security (School of Cryptography), Hainan UniversityDepartment of Cryptography Science and Technology, Beijing Electronics Science and Technology InstituteInternet Monitoring Engineering Center, Chengdu University of TechnologyAbstract The data collection processes of IoT devices face significant security challenges, including access authorization, secure transmission, and secure storage. These challenges are particularly critical in sectors such as smart healthcare, smart homes, and smart cities, where users often lack direct ownership or control over IoT devices. Various solutions have been proposed to address these issues, leveraging technologies such as Certificate Authorities (CAs) and blockchain. However, the CA model is inherently centralized, while blockchain-based solutions suffer from relatively low efficiency. To overcome these limitations, this article introduces a trust model for IoT data collection based on Decentralized Identifiers (DIDs) and proposes a novel IoT data security collection scheme, called TrID. TrID employs a distributed architecture to resolve the centralization problem and operates independently of blockchain, significantly enhancing both the security and efficiency of IoT data collection. The experiment shows that the authentication time cost of TrID in the mutual authentication protocol is only 10% of on-chain solutions, and the decryption of 10 MB of data with 1000 KB encrypted block size, requires less than 100 ms.https://doi.org/10.1038/s41598-025-89589-7 |
| spellingShingle | Baitao Zhang Rui Shi Xiaolin Li Mengjiao Zhang Decentralized identifiers based IoT data trusted collection Scientific Reports |
| title | Decentralized identifiers based IoT data trusted collection |
| title_full | Decentralized identifiers based IoT data trusted collection |
| title_fullStr | Decentralized identifiers based IoT data trusted collection |
| title_full_unstemmed | Decentralized identifiers based IoT data trusted collection |
| title_short | Decentralized identifiers based IoT data trusted collection |
| title_sort | decentralized identifiers based iot data trusted collection |
| url | https://doi.org/10.1038/s41598-025-89589-7 |
| work_keys_str_mv | AT baitaozhang decentralizedidentifiersbasediotdatatrustedcollection AT ruishi decentralizedidentifiersbasediotdatatrustedcollection AT xiaolinli decentralizedidentifiersbasediotdatatrustedcollection AT mengjiaozhang decentralizedidentifiersbasediotdatatrustedcollection |