In the Web 3.0 era, how to establish a 3D visualized decentralized identity

Author: metavisa

As metavisa completed the first phase of its product UI upgrade and feature launch on the 25th of this month, metavisa will summon 10 heroes to gather together, bringing users 10,000 limited edition metavisa assembled hero NFTs. Users can draw a hero card using their digital wallet address with Meta ID and randomly obtain a metavisa NFT hero avatar. metavisa will also utilize its MCS credit scoring system, based on blockchain data, employing cloud computing, machine learning technologies, and model algorithms such as logistic regression, decision trees, and random forests, to combine factors like users' credit history, on-chain behavioral preferences, address activity levels, asset holdings, and investment portfolios to mint users' MCS level reward badges, thus allowing users to access different levels of DApps services (see Figure 1: metavisa model design and logic). Users can also associate their metavisa hero avatars with their existing web 2.0 social media accounts, enabling features such as protecting social address information privacy, creating a decentralized, shared, flexible, secure, and resilient network identity that protects user information privacy and has reliable credit ratings.

Figure 1: metavisa model design and logic

Image source: metavisa light paper

Compared to traditional Web 2.0 identity authentication systems, metavisa helps users better address issues such as multi-platform aggregation, multidimensional data, privacy protection, security moats, and NFTization through Web 3.0 middleware protocols (see Figure 2: Comparison of identity systems in Web 2.0 and Web 3.0 environments). According to Babit Information (2022), in the context of Web 2.0, the privacy and security assumptions of user data are based on trust in platforms and trust in government regulation, but users still lack control over their personal data. To address this issue, the user data privacy protection solutions proposed in the context of Web 3.0 are designed around the control of personal data (see Figure 3: Comparison of the development of Web 1.0, Web 2.0, and Web 3.0).

Figure 2: Comparison of identity systems in Web 2.0 and Web 3.0 environments

Image source: metavisa

Figure 3: Comparison of the development of Web 1.0, Web 2.0, and Web 3.0

Image source: James Beck

The metavisa identity system has high potential for growth. After accessing metavisa, users can not only parse past on-chain data into personalized identity tags through metavisa's deep algorithms but also continuously grow their decentralized identity system through the accumulation of on-chain data. This will help optimize the identity system and further improve the accuracy of customized identity tags, thereby helping users gain more profits. As more users participate in metavisa's decentralized identity, it will establish higher credibility among users.