Abstract: Methods, systems, and devices for using a blockchain wallet for two-factor authentication are described. A custodial token platform implements a two-factor authentication process using a wallet to facilitate verifying a user identity accessing an application or service. The platform receives, from a client application on a user device, an authentication request that is associated with a first user account. The platform transmits a response indicating that a wallet authentication procedure is enabled and the response may include a wallet address. The platform receives a challenge request that includes the wallet address. The platform transmits a challenge response that includes a data payload to be signed using a private key associated with the wallet address. The platform receives a signed response message. The platform verifies that the signed response message is validly signed, and the platform transmits an indication that the signed response message is validly signed.

Abstract: Methods, systems, and devices for data management are described. A self-executing program of a blockchain network (e.g., blockchain distributed data store) may receive, from a client application, a first request to mint an identity attestation token for a user. The first request may include an indication of a wallet address for the user. The self-executing program may generate the identity attestation token that is indicative of first identity information, for the user, that is stored in an off-chain data source and broadcast a message that is configured to transfer the identity attestation token to the wallet address for the user. The self-executing program may receive, from a second application, a request for the first identity information for the user and send, to the second client application after receiving the request, a second message that includes information indicative of the off-chain data source.

Abstract: Methods and systems that use of a multi-tiered machine learning architecture that aggregates traits of blockchain and off-chain operations. The multi-tiered machine learning architecture then uses this data to generate recommendations related to account identities for communications (e.g., blockchain operations) that occur across decentralized applications.

Abstract: Methods and systems use a second dataset comprising independently validated data based on labeled blockchain operations previously processed through the blockchain network. The use of the second dataset in conjunction with the dataset comprising labeled blockchain characteristics data received from a plurality of sources provides a comprehensive input for a machine learning model to identify and label suspicious blockchain operations. By doing so, the system mitigates fraudulent, criminal, or suspicious transactions. For example, the system may send an alert to a user if a behavior type is deemed a high risk by the machine learning model; the system may furthermore hold the funds associated with the blockchain operation in a separate account while the transaction is manually reviewed.

Abstract: Methods and systems that use of a multi-tiered machine learning architecture that aggregates traits of blockchain and off-chain operations. The multi-tiered machine learning architecture then uses this data to generate recommendations related to account identities for communications (e.g., blockchain operations) that occur across decentralized applications.