Secure messaging in a machine learning blockchain network

A system for finding in a blockchain data structure additional instances of like events from a reported first event involving a first physical object, the system comprising:

• an interface to a trusted source system for publishing to a server of the trusted source system a mobile application being provided to one or more non-credentialed devices;
• a trusted server having access to a blockchain ledger of a plurality of blockchain nodes storing at least pointers to a plurality of documents, the trusted server including a processor and software that implement:
• receiving by a trusted server having access permissions to a permissioned blockchain network, a report by an unverified source, the report identifying the first physical object;
• establishing by the trusted server using the interface to a trusted source system for publishing to a server of the trusted source system a mobile application being provided to the non-credentialed devices, a trusted interactive conversation with the unverified source, the trusted interactive conversation identified by a unique random token, wherein physical parameters of the first physical object are prompted for, and values for the physical parameters are returned;
• determining by the trusted server from the values for the physical parameters received, values for one or more associated block chain parameters using a machine intelligence process;
• creating by the trusted server, using the values for one or more associated block chain parameters, a new block chain block;
• and
• sending the new block chain block populated with at least some of the values for one or more associated block chain parameters in connection with the unique random token to be added to the permissioned blockchain network;
• thereby enabling other trusted servers with access to the permissioned blockchain network to provide indication of additional instances of like events based upon the values for one or more associated block chain parameters.

A non-transitory computer readable medium storing instructions for finding in a blockchain data structure additional instances of like events from a reported first event involving a first physical object, which instructions when executed by one or more processors perform a method comprising:

• receiving by a trusted server having access permissions to a permissioned blockchain network, a report by an unverified source, the report identifying the first physical object;
• establishing by the trusted server, a trusted interactive conversation with the unverified source, the trusted interactive conversation identified by a unique random token, wherein physical parameters of the first physical object are prompted for, and values for the physical parameters are returned;
• determining by the trusted server from the values for the physical parameters received, values for one or more associated block chain parameters using a machine intelligence process;
• creating by the trusted server, using the values for one or more associated block chain parameters, a new block chain block;
• and
• sending the new block chain block populated with at least some of the values for one or more associated block chain parameters in connection with the unique random token to be added to the permissioned blockchain network;
• thereby enabling other trusted servers with access to the permissioned blockchain network to provide indication of additional instances of like events based upon the values for one or more associated block chain parameters.