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.

Abstract: One or more aspects described herein provide methods and systems for authoritatively confirming that a recipient is an intended recipient to receive personal data, and to securely transmit the personal data to the intended recipient, when both the sender and receiver are operating in a trustless ecosystem such as that used with blockchain technology. A computing device may receive an indication of a blockchain address used, by a sender computing device and via a blockchain, to send one or more virtual assets. The computing device may store an association between the blockchain address and the recipient. The computing device may send, to the sender computing device and in response to a query comprising the blockchain address, an indication of the recipient. The indication may be configured to cause the sender computing device to send, to the recipient, personal data associated with an owner of the one or more virtual assets.

Abstract: One or more aspects described herein provide methods and systems for authoritatively confirming that a recipient is an intended recipient to receive personal data, and to securely transmit the personal data to the intended recipient, when both the sender and receiver are operating in a trustless ecosystem such as that used with blockchain technology. A computing device may receive an indication of a blockchain address used, by a sender computing device and via a blockchain, to send one or more virtual assets. The computing device may store an association between the blockchain address and the recipient. The computing device may send, to the sender computing device and in response to a query comprising the blockchain address, an indication of the recipient. The indication may be configured to cause the sender computing device to send, to the recipient, personal data associated with an owner of the one or more virtual assets.

Abstract: A method includes acquiring, at a node server, blockchain data for a blockchain address on a blockchain network. The blockchain data includes a plurality of transactions for the blockchain address. The method includes generating a local node trust score for the blockchain address based on the blockchain data. The local node trust score indicates a likelihood that the blockchain address is involved in fraudulent activity. The method includes receiving, from a plurality of remote servers, a plurality of additional local trust scores for the blockchain address. The method includes determining a consensus trust score based on the local node trust score and the plurality of additional local trust scores. Additionally, the method includes receiving a trust request for the blockchain address from a requesting device and sending the consensus trust score for the specified blockchain address to the requesting device.

Abstract: One or more aspects described herein provide methods and systems for authoritatively confirming that a recipient is an intended recipient to receive personal data, and to securely transmit the personal data to the intended recipient, when both the sender and receiver are operating in a trustless ecosystem such as that used with blockchain technology. A computing device may receive an indication of a blockchain address used, by a sender computing device and via a blockchain, to send one or more virtual assets. The computing device may store an association between the blockchain address and the recipient. The computing device may send, to the sender computing device and in response to a query comprising the blockchain address, an indication of the recipient. The indication may be configured to cause the sender computing device to send, to the recipient, personal data associated with an owner of the one or more virtual assets.

Abstract: A method includes acquiring, at a node server, blockchain data for a blockchain address on a blockchain network. The blockchain data includes a plurality of transactions for the blockchain address. The method includes generating a local node trust score for the blockchain address based on the blockchain data. The local node trust score indicates a likelihood that the blockchain address is involved in fraudulent activity. The method includes receiving, from a plurality of remote servers, a plurality of additional local trust scores for the blockchain address. The method includes determining a consensus trust score based on the local node trust score and the plurality of additional local trust scores. Additionally, the method includes receiving a trust request for the blockchain address from a requesting device and sending the consensus trust score for the specified blockchain address to the requesting device.

Abstract: A method includes acquiring, at a node server, blockchain data for a blockchain address on a blockchain network. The blockchain data includes a plurality of transactions for the blockchain address. The method includes generating a local node trust score for the blockchain address based on the blockchain data. The local node trust score indicates a likelihood that the blockchain address is involved in fraudulent activity. The method includes receiving, from a plurality of remote servers, a plurality of additional local trust scores for the blockchain address. The method includes determining a consensus trust score based on the local node trust score and the plurality of additional local trust scores. Additionally, the method includes monitoring a ledger on the blockchain network for a contract trust request that specifies the blockchain address and sending, to the blockchain network, the consensus trust score for the blockchain address specified in the contract trust request.

Abstract: A method includes acquiring, at a node server, blockchain data for a blockchain address on a blockchain network. The blockchain data includes a plurality of transactions for the blockchain address. The method includes generating a local node trust score for the blockchain address based on the blockchain data. The local node trust score indicates a likelihood that the blockchain address is involved in fraudulent activity. The method includes receiving, from a plurality of remote servers, a plurality of additional local trust scores for the blockchain address. The method includes determining a consensus trust score based on the local node trust score and the plurality of additional local trust scores. Additionally, the method includes receiving a trust request for the blockchain address from a requesting device and sending the consensus trust score for the specified blockchain address to the requesting device.