Tracking entity activity using computer generation of values for blockchain network entries

Abstract

A computer analyzes blockchain ledger content. The computer receives a set of attributes associated with a predetermined entity and applies a one-way function to the attributes, generating an inquiry hash. The computer receives access to a blockchain ledger that includes a report with at least one report hash associated with an attribute of a report entity. The computer searches the report using the inquiry hash as a search key. The computer generates a list of candidate reports containing hashes that matches the inquiry hash. The computer assigns an entity matching confidence rating to candidate reports based, at least in part, on a predetermined identification utility value associated with each inquiry hash matched. The identification utility value indicates a likelihood that the report entity is the predetermined entity. The computer generates a list of high assurance reports having entity matching confidence ratings above a predetermined assurance threshold.