A Comprehensive Approach to User Delegation and Anonymity within Decentralized Identifiers for IoT
Decentralized Identifiers have recently expanded into Internet of Things devices and are crucial in securing users’ digital identities and data. However, Decentralized Identifiers face challenges in scenarios necessitating authority delegation and anonymity, such as when dealing with legal guardians...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/7/2215 |
| _version_ | 1827286489526960128 |
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| author | Taehoon Kim Daehee Seo Su-Hyun Kim Im-Yeong Lee |
| author_facet | Taehoon Kim Daehee Seo Su-Hyun Kim Im-Yeong Lee |
| author_sort | Taehoon Kim |
| collection | DOAJ |
| description | Decentralized Identifiers have recently expanded into Internet of Things devices and are crucial in securing users’ digital identities and data. However, Decentralized Identifiers face challenges in scenarios necessitating authority delegation and anonymity, such as when dealing with legal guardianship for minors, device loss or damage, and specific medical contexts involving patient information. This paper aims to strengthen data sovereignty within the Decentralized Identifier system by implementing a secure authority delegation and anonymity scheme. It suggests optimizing verifiable presentations by utilizing a sequential aggregate signature, a Non-Interactive Zero-Knowledge Proof, and a Merkle tree to prevent against linkage and Sybil attacks while facilitating delegation. This strategy mitigates security risks related to delegation and anonymity, efficiently reduces the computational and verification efforts for signatures, and reduces the size of verifiable presentations by about 1.2 to 2 times. |
| first_indexed | 2024-04-24T10:34:18Z |
| format | Article |
| id | doaj.art-27eb61dca59f45438a79ac21705d3ca6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-24T10:34:18Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-27eb61dca59f45438a79ac21705d3ca62024-04-12T13:26:30ZengMDPI AGSensors1424-82202024-03-01247221510.3390/s24072215A Comprehensive Approach to User Delegation and Anonymity within Decentralized Identifiers for IoTTaehoon Kim0Daehee Seo1Su-Hyun Kim2Im-Yeong Lee3Department of Software Convergence, Soonchunhyang University, Asan 31538, Republic of KoreaFaculty of Artificial Intelligence and Data Engineering, Sangmyung University, Seoul 03016, Republic of KoreaDepartment of Computer Software Engineering, Soonchunhyang University, Asan 31538, Republic of KoreaDepartment of Computer Software Engineering, Soonchunhyang University, Asan 31538, Republic of KoreaDecentralized Identifiers have recently expanded into Internet of Things devices and are crucial in securing users’ digital identities and data. However, Decentralized Identifiers face challenges in scenarios necessitating authority delegation and anonymity, such as when dealing with legal guardianship for minors, device loss or damage, and specific medical contexts involving patient information. This paper aims to strengthen data sovereignty within the Decentralized Identifier system by implementing a secure authority delegation and anonymity scheme. It suggests optimizing verifiable presentations by utilizing a sequential aggregate signature, a Non-Interactive Zero-Knowledge Proof, and a Merkle tree to prevent against linkage and Sybil attacks while facilitating delegation. This strategy mitigates security risks related to delegation and anonymity, efficiently reduces the computational and verification efforts for signatures, and reduces the size of verifiable presentations by about 1.2 to 2 times.https://www.mdpi.com/1424-8220/24/7/2215decentralized identifierdelegationanonymitysequential aggregate signaturenon-interactive zero-knowledge proof |
| spellingShingle | Taehoon Kim Daehee Seo Su-Hyun Kim Im-Yeong Lee A Comprehensive Approach to User Delegation and Anonymity within Decentralized Identifiers for IoT Sensors decentralized identifier delegation anonymity sequential aggregate signature non-interactive zero-knowledge proof |
| title | A Comprehensive Approach to User Delegation and Anonymity within Decentralized Identifiers for IoT |
| title_full | A Comprehensive Approach to User Delegation and Anonymity within Decentralized Identifiers for IoT |
| title_fullStr | A Comprehensive Approach to User Delegation and Anonymity within Decentralized Identifiers for IoT |
| title_full_unstemmed | A Comprehensive Approach to User Delegation and Anonymity within Decentralized Identifiers for IoT |
| title_short | A Comprehensive Approach to User Delegation and Anonymity within Decentralized Identifiers for IoT |
| title_sort | comprehensive approach to user delegation and anonymity within decentralized identifiers for iot |
| topic | decentralized identifier delegation anonymity sequential aggregate signature non-interactive zero-knowledge proof |
| url | https://www.mdpi.com/1424-8220/24/7/2215 |
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