The Conception of Digital Assets on Metaverse

A key component of the Metaverse Blockchain is the Avatars (digital identities). In the current blockchain transaction tracking system, we can trace a series of transactions and specific addresses by inquiring the blockchain browser. We cannot know specific users who complete these operations from these addresses, that is, these public keys and addresses fail to connect with the real world in a lot of associated information.

There is nothing wrong with this though and is considered one of advantages of blockchain transactions, protecting users’ privacy to a great extent. However, with the diversification of assets and functions on blockchain, a single private key or address can no longer meet these special features.

For example, when people want to borrow or mortgage assets, they usually need to learn participants' credit information by using a series of standard algorithms from the data of their economic behavior. Take the real world as an example, the personal credit system is usually based on the residents of the household income, the occurrence of loans and repayment, credit overdraft and bad credit as well as other aspects.

Coincidentally, Zhima Credit collects five-dimension data of users, including credit history, behavior preferences, performance, identity and personal relationship. The final credit score will form in accordance with the dimensions of a data source and a certain algorithm.

According to the different grades, users can use specific functions and implement specific permissions. When constructing digital identities, Metaverse will also collect users’ behavior data. The data forms an exact credit rating through a fair algorithm, which is the foundation of building digital identities.