Publicação
Decentralised identity management: privacy-preserving authentication in algorand’s blockchain
| Resumo: | In the era of decentralized identity management within blockchain ecosystems, ensuring user privacy during authentication processes is a critical concern. This dissertation addresses the challenge of privacypreserving authentication within decentralized identity management systems, specifically on the Algorand blockchain platform. As digital identity solutions become critical in today’s interconnected world, traditional centralized models expose user data to substantial privacy and security risks, such as data breaches, identity theft, and unauthorized access. The research leverages Algorand’s pure proof of stake (PPoS) consensus mechanism, recognized for its scalability and energy efficiency, along with cryptographic techniques such as zero-knowledge proofs (ZKPs) and the Pedersen commitment scheme. The primary contribution of this dissertation is the development of a proof of concept decentralized application (DApp) designed for secure and anonymous voting, designed to balance data protection with usability within the context of Dharma Teams, a decentralized application of Yari Labs. By incorporating cryptographic primitives such as anonymous credentials and secure, decentralized authentication protocols, the DApp demonstrates how user privacy can be maintained even in open blockchain environments. The framework developed within this research not only ensures user anonymity, but also upholds the integrity and transparency of the authentication process. Furthermore, this dissertation explores the applicability of these privacy-preserving methods in various use cases, including decentralized finance, supply chain management, and verification of digital identity. Through a blend of theoretical insights and practical implementation, this work lays a pathway toward more secure and use centric digital ecosystems on Algorand and similar platforms. |
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| Autores principais: | Martins , João André Monteiro |
| Assunto: | Blockchain Algorand Authentication Decentralized Protocols Anonymous Credentials Autenticação Protocolos descentralizados Credenciais anónimas |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | In the era of decentralized identity management within blockchain ecosystems, ensuring user privacy during authentication processes is a critical concern. This dissertation addresses the challenge of privacypreserving authentication within decentralized identity management systems, specifically on the Algorand blockchain platform. As digital identity solutions become critical in today’s interconnected world, traditional centralized models expose user data to substantial privacy and security risks, such as data breaches, identity theft, and unauthorized access. The research leverages Algorand’s pure proof of stake (PPoS) consensus mechanism, recognized for its scalability and energy efficiency, along with cryptographic techniques such as zero-knowledge proofs (ZKPs) and the Pedersen commitment scheme. The primary contribution of this dissertation is the development of a proof of concept decentralized application (DApp) designed for secure and anonymous voting, designed to balance data protection with usability within the context of Dharma Teams, a decentralized application of Yari Labs. By incorporating cryptographic primitives such as anonymous credentials and secure, decentralized authentication protocols, the DApp demonstrates how user privacy can be maintained even in open blockchain environments. The framework developed within this research not only ensures user anonymity, but also upholds the integrity and transparency of the authentication process. Furthermore, this dissertation explores the applicability of these privacy-preserving methods in various use cases, including decentralized finance, supply chain management, and verification of digital identity. Through a blend of theoretical insights and practical implementation, this work lays a pathway toward more secure and use centric digital ecosystems on Algorand and similar platforms. |
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