DECENTRALIZED TOKENIZATION TECHNOLOGIES

    公开(公告)号:US20210217001A1

    公开(公告)日:2021-07-15

    申请号:US16740283

    申请日:2020-01-10

    Abstract: Disclosed embodiments are related to blockchain asset token management systems, and in particular, to Multiple Decentralized Tokenization with Personal Control (MDTPC). MDTPC allows users to determine how and when asset token evaluation is performed, and also allows users to determine which token management services they wish to use to manage and store their asset token and related data. In embodiments, multiple blockchain token management services are utilized in conjunction with individual digital wallets to share token data and validate ownership of tokens. A registry service is used to ensure visibility of tokens across multiple token management services, which increases the likelihood of identifying the rightful owner of asset tokens. Other embodiments may be described and/or claimed.

    Multi-factor administrator action verification system

    公开(公告)号:US10754972B2

    公开(公告)日:2020-08-25

    申请号:US15884146

    申请日:2018-01-30

    Abstract: In various embodiments, a method of verifying a multi-factor administrator action may be performed. The method may include receiving, from a first user, an authentication request that indicates a requested access, where the first user has administrative privileges to perform the requested access. The method may further include identifying a second user that has administrative privileges to approve the requested access. A verification request may be to the second user. In response to receiving an approval message from the second user within a particular amount of time, an authentication response that indicates that the first user is authorized to perform the requested access may be sent to the first user.

    SYSTEMS, METHODS, AND APPARATUSES UTILIZING A BLENDED BLOCKCHAIN LEDGER IN A CLOUD SERVICE TO ADDRESS LOCAL STORAGE

    公开(公告)号:US20200242595A1

    公开(公告)日:2020-07-30

    申请号:US16262795

    申请日:2019-01-30

    Abstract: A host organization writes a smart contract and an associated plurality of assets to a distributed ledger via a distributed ledger services interface of the host organization, which operates as a first one of a plurality of nodes that has access to the assets via the distributed ledger. The host receives a request message from a second one of the plurality of nodes to access an asset associated with the smart contract written to the distributed ledger. The request message generates a distributed ledger transaction including a first event or trigger associated with the smart contract. An event listener executing within the host organization detects the first event or trigger, and initiates a pre-programmed action within the host organization in response thereto. The pre-programmed action includes providing a first response message that does not include the asset, either as a distributed ledger transaction including a second event or trigger associated with the smart contract, or a messaging protocol transaction including the first response message to be exchanged with only the second one of the plurality of nodes. Alternatively, the host organization retrieves from a local store, or generates, the asset, and provides it in a second response message in either a distributed ledger transaction including a third event or trigger associated with the smart contract, or a messaging protocol transaction including the second response message to be exchanged with only the second one of the plurality of nodes.

    EVALUATION OF NODES WRITING TO A DATABASE
    26.
    发明申请

    公开(公告)号:US20200019898A1

    公开(公告)日:2020-01-16

    申请号:US16035460

    申请日:2018-07-13

    Abstract: Techniques are disclosed relating to evaluating nodes of a process. A computer system may receive instance data that relates to an instance of a multi-step process and is written by a set of the plurality of nodes that performed the instance according to a particular ordering. The computer system may process the instance data to produce path data that corresponds to a path indicative of the particular ordering. The computer system may further receive feedback data indicative of an outcome of the instance. The computer system may process the path data and the feedback data to update a model that indicates confidence scores for the plurality of nodes. The computer system may determine, using confidence scores indicated by the model, that one or more of the set of nodes do not satisfy a quality threshold.

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