Ledgerdomain Inc.

Victor Bovee Dods

Benjamin James Taylor

Leonid Alekseyev

Benjamin Gregory Nichols

William Jack

Alex Read Colgan

The disclosed technology teaches a method for delegating user access to one of a set of decentralized networked nodes that share a private permissioned blockchain data structure or a decentralized personal ledger. The method also includes a credentialing logic configured to receive from one of a set of decentralized networked nodes, authority to access a network node to invoke services that conduct operations using a private permissioned blockchain data structure or decentralized personal ledger to which access has been limited to users authorized by one of the set of decentralized networked nodes; and an access delegation logic configured to create a delegation of at least some of the authority to access the network node for a limited duration of time and to send the delegation to a recipient identified to receive delegated authority.

Access delegation leveraging private keys on keystores read by provisioned devices

The disclosed technology teaches a method for managing user access to one of a set of decentralized networked nodes that share a private permissioned blockchain data structure or a decentralized personal ledger, to which access has been limited to users authorized by one of the set of decentralized networked nodes.

Management of recipient credentials leveraging private keys on keystores read by provisioned devices

Multi-layer ensembles of neural subnetworks are disclosed. Implementations can classify inputs indicating various anomalous sensed conditions into probabilistic anomalies using an anomaly subnetwork. Determined probabilistic anomalies are classified into remedial application triggers invoked to recommend or take actions to remediate, and/or report the anomaly. Implementations can select a report type to submit, or a report recipient, based upon the situation state, e.g., FDA: Field Alert Report (FAR), Biological Product Deviation Report (BPDR), Medwatch, voluntary reporting by healthcare professionals, consumers, and patients (Forms 3500, 3500A, 3500B, Reportable Food Registry, Vaccine Adverse Event Reporting System (VAERS), Investigative Drug/Gene Research Study Adverse Event Reports, Potential Tobacco Product Violations Reporting (Form 3779), USDA:Center for Veterinary Biologics Reports, Animal and Plant Health Inspection Service: Adverse Event Reporting, FSIS Electronic Consumer Complaints, DEA Tips, Animal Drug Safety Reporting, Consumer Product Safety Commission Reports, State/local reports: Health Department, Board of Pharmacy.

Secure messaging in a machine learning blockchain network

Disclosed is a method for authenticating requestors and granting access to a permissioned blockchain network shared among enterprise entities. A decentralized registry of credentialled users, in which credentialled users guard their own access information by keeping a private key of a public-private keypair enables systems to avoid keeping information of a large number of users in large, vulnerable containers. A further method removes authenticated users seeking to be forgotten from the registry of users and deletes any personally identifiable information of the withdrawing users.

Decentralized identity authentication framework for distributed data

The disclosed technology teaches a method for revocation of user credentials for controlling user access to a private permissioned blockchain data structure or decentralized personal ledger, comprising an administrative logic configured to de-configure user private keys from keystores of respective users. The administrative logic further comprises a revocation logic configured to receive a unique identifier linked to a keystore of a particular user in response to the keystore, and the revocation logic is further configured to revoke access of the keystore based on the unique identifier.

Credential revocation leveraging private keys on keystores read by provisioned devices

Disclosed is a neural network enabled interface server and blockchain interface establishing a blockchain network implementing event detection, tracking and management for rule based compliance, with significant implications for anomaly detection, resolution and safety and compliance reporting.

Neural network classifiers for block chain data structures

The disclosed technology teaches an implementation for leveraging self-sovereign credentials held on mobile devices to provision credentials that empower one party ('recipient' or “user”, used synonymously herein) to obtain credentialed access to information and resources on behalf of another party (“sender” or “administrator”, used synonymously herein), without either party exposing private key information to each other or to the cloud. The sender is able to revoke user credentials at any time. Parties are able to leverage commodity hardware to automatically mutually authenticate their credentials and access available relevant options and workflows.

Recipient credentialing leveraging private keys on keystores read by provisioned devices

The technology disclosed allows for leveraging decentralized credentials to achieve bidirectional authentication between two actors leveraging a messaging platform/system, such as email or another text-based system, verifiable credentials (VCs), and secure web endpoints. It empowers one party ('Sender') to send a message enclosed with a Verifiable Presentation which allows another party (“Recipient”) to authenticate the message's provenance and the identity of the sender. Moreover, the message contains a link to a secure web endpoint, where the recipient can submit a response signed by their own Verifiable Presentation, allowing the Sender to authenticate the identity of the Recipient. In this way, both participants are able to authenticate each other's identities with an additional factor of authentication, with neither participant being required to share a single service.

Verifiable credentialling and message content provenance authentication

Establishing a trained machine learning classifier in a blockchain network

Disclosed is a method for cross-authenticating non-credentialed devices and trusted blockchain enabled applications using multiple communications modalities and gathering information upon request for a blockchain network.

Secure messaging in a blockchain network

Disclosed is a method for authenticating requestors and granting access to a permissioned blockchain network shared among enterprise entities. A decentralized registry of credentialed users, in which credentialed users guard their own access information by keeping a private key of a public-private keypair enables systems to avoid keeping information of a large number of users in large, vulnerable containers. A further method removes authenticated users seeking to be forgotten from the registry of users and deletes any personally identifiable information of the withdrawing users.

Growing community of inventors

Orinda, CA, United States of America

Victor Bovee Dods