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A Comprehensive Approach to User Delegation and Anonymity within Decentralized Identifiers for IoTopen access

Authors
Kim, TaehoonSeo, DaeheeKim, Su-HyunLee, Im-Yeong
Issue Date
Apr-2024
Publisher
MDPI
Keywords
decentralized identifier; delegation; anonymity; sequential aggregate signature; non-interactive zero-knowledge proof
Citation
SENSORS, v.24, no.7
Journal Title
SENSORS
Volume
24
Number
7
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/26240
DOI
10.3390/s24072215
ISSN
1424-8220
1424-3210
Abstract
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.
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