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A Comprehensive Approach to User Delegation and Anonymity within Decentralized Identifiers for IoT.
Kim, Taehoon; Seo, Daehee; Kim, Su-Hyun; Lee, Im-Yeong.
Afiliação
  • Kim T; Department of Software Convergence, Soonchunhyang University, Asan 31538, Republic of Korea.
  • Seo D; Faculty of Artificial Intelligence and Data Engineering, Sangmyung University, Seoul 03016, Republic of Korea.
  • Kim SH; Department of Computer Software Engineering, Soonchunhyang University, Asan 31538, Republic of Korea.
  • Lee IY; Department of Computer Software Engineering, Soonchunhyang University, Asan 31538, Republic of Korea.
Sensors (Basel) ; 24(7)2024 Mar 29.
Article em En | MEDLINE | ID: mdl-38610426
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article