Trustworthy Web3 domains: A framework for digital identity verification

• Main Authors: LAU, Yi Meng, KE, Ping Fan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Digital Identity; Web3; Identification; Authentication; Authorization; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9826; https://ink.library.smu.edu.sg/context/sis_research/article/10826/viewcontent/2024_SIGBIT_Workshop_paper_9__1_.pdf
• Institution: Singapore Management University

As decentralized applications evolve, digital identities represented through Web3 domain names gained prominence. This study addresses the challenges of establishing trust in Web3 domain names. The decentralized nature of Web3 introduces complexities in verifying domain name authenticity, making them targets for malicious activities such as cybersquatting and phishing. We propose a comprehensive framework that enhances traditional identification, authentication, and authorization processes by incorporating technological and social trust elements. This framework enables organizations and users to systematically assess the trustworthiness of Web3 domain names, offering a structured approach to managing digital identities in decentralized environments.