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

1. A computer-implemented method to analyze blockchain ledger content, comprising:

receiving, by a computer, a set of attributes associated with a predetermined entity;

applying a hashing function to several entity attributes either individually or in various combinations to generate multiple inquiry hashes;

responsive to receiving said set of attributes, applying, by said computer, a one-way function to a group of said attributes to generate an inquiry hash from the multiple inquiry hashes, the inquiry hash includes scrambled representations of group entity attributes;

receiving by said computer, access to a blockchain ledger that includes at least one report, said at least one report including at least one report hash associated with an attribute of a report entity;

searching, by said computer, the at least one report using said inquiry hash as a search key;

responsive to said searching, generating by the computer, a list of candidate reports that each contain at least one report hash that matches said inquiry hash;

assigning, by said computer, an entity matching confidence rating to each of said candidate reports based, at least in part, on a predetermined identification utility value associated with said inquiry hash, said identification utility value indicating a likelihood that the report entity is the predetermined entity; and

generating, by said computer, from among rated candidate reports, a list of high assurance reports having an entity matching confidence rating above a predetermined assurance threshold.

2. The method of claim 1 , wherein, for each of said candidate reports being assigned an entity matching confidence rating having a value less than said predetermined assurance threshold, obtaining by the computer from an information source, additional information about an associated report entity; and generating a list of said additional information associated with said report entity.

3. The method of claim of 1 , wherein said inquiry hash is generated from applying said one-way function to a plurality of attributes.

4. The method of claim 1 , wherein said at least one report includes a plurality of report hashes.

5. The method of claim 1 , wherein said computer applies said one-way function to a plurality of groups of said attributes to generate a corresponding plurality of inquiry hashes, and wherein said searching is conducted using each of said inquiry hashes as a search key.

6. The method of claim 1 , wherein the inquiry hashes are made by a first entity, and said reports are generated by a second entity.

7. The method of claim 1 , wherein the blockchain is a private, permissioned network.

8. The method of claim 1 , wherein the entity is an individual.

9. A system to analyze blockchain ledger content, which comprises:

a computer system comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:

receive a set of attributes associated with a predetermined entity;

apply a hashing function to several entity attributes either individually or in various combinations to generate multiple inquiry hashes;

responsive to receiving said set of attributes, apply a one-way function to a group of said attributes to generate an inquiry hash from the multiple inquiry hashes, the inquiry hash includes scrambled representations of group entity attributes;

receive access to a blockchain ledger that includes at least one report, said at least one report including at least one report hash associated with an attribute of a report entity;

search the at least one report using said inquiry hash as a search key;

responsive to said searching, generate a list of candidate reports that each contain at least one report hash that matches said inquiry hash;

assign an entity matching confidence rating to each of said candidate reports based, at least in part, on a predetermined identification utility value associated with said inquiry hash, said identification utility value indicating a likelihood that the report entity is the predetermined entity; and

generate from among rated candidate reports, a list of high assurance reports having an entity matching confidence rating above a predetermined assurance threshold.

10. The system of claim 9 wherein, for each of said candidate reports being assigned an entity matching confidence rating having a value less than said predetermined assurance threshold, obtaining by the computer from an information source, additional information about an associated report entity; and generating a list of said additional information associated with said report entity.

11. The system of claim of 9 , wherein said inquiry hash is generated from applying said one-way function to a plurality of attributes.

12. The system of claim 9 , wherein said at least one report includes a plurality of report hashes.

13. The system of claim 9 , wherein said computer applies said one-way function to a plurality of groups of said attributes to generate a corresponding plurality of inquiry hashes, and wherein said searching is conducted using each of said inquiry hashes as a search key.

14. The system of claim 9 , wherein the inquiry hashes are made by a first entity, and said reports are generated by a second entity.

15. The system of claim 9 , wherein the blockchain is a private, permissioned network.

16. The system of claim 9 , wherein the entity is an individual.

17. A computer program product to analyze blockchain ledger content, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:

receive, using a computer, a set of attributes associated with a predetermined entity;

apply a hashing function to several entity attributes either individually or in various combinations to generate multiple inquiry hashes;

responsive to receiving said set of attributes, apply, using the computer, a one-way function to a group of said attributes to generate, using the computer, an inquiry hash from the multiple inquiry hashes, the inquiry hash includes scrambled representations of group entity attributes;

receive, using the computer, access to a blockchain ledger that includes at least one report, said at least one report including at least one report hash associated with an attribute of a report entity;

search, using the computer, the at least one report using said inquiry hash as a search key;

responsive to said searching, generate, using the computer, a list of candidate reports that each contain at least one report hash that matches said inquiry hash;

assign an entity matching confidence rating to each of said candidate reports based, at least in part, on a predetermined identification utility value associated with said inquiry hash, said identification utility value indicating a likelihood that the report entity is the predetermined entity; and

generating from among rated candidate reports, a list of high assurance reports having an entity matching confidence rating above a predetermined assurance threshold.

18. The computer program product of claim 17 wherein, for each of said candidate reports being assigned an entity matching confidence rating having a value less than said predetermined assurance threshold, obtaining by the computer from an information source, additional information about an associated report entity; and generating a list of said additional information associated with said report entity.

19. The computer program product of claim 17 , wherein said computer applies said one-way function to a plurality of groups of said attributes to generate a corresponding plurality of inquiry hashes, and wherein said searching is conducted using each of said inquiry hashes as a search key.

20. The computer program product of claim 17 , wherein the inquiry hashes are made by a first entity, and said reports are generated by a second entity.