Fuzzy dataset processing and biometric identity technology leveraging blockchain ledger technology

1. A method for verifying that distorted biometric information received by a computing device is authentic, comprising:

receiving a signal indicative of a distorted biometric of a biometric of a person;

determining, by a processor, a DNA sequence code of the signal indicative of the distorted biometric signal;

generating, by the processor, a first dataset from a plurality of fuzzy data values based on the DNA sequence code, wherein each fuzzy data is transformed into a data value and at least one range value to obtain respective data values and range values, and wherein the respective data values and range values are arranged in at least two data series of the first dataset, respectively;

hashing using a hash function, by the processor, the first dataset, which is based on the DNA sequence code, to obtain a second dataset, that maintains a relationship of the respective data values and the range values arranged in the at least two data series;

encrypting, by the processor, the second dataset;

storing the encrypted second dataset into a blockchain to generate a blockchain transaction that includes one or more biometric identifiers;

publishing, by the processor, the generated blockchain transaction to a distributed blockchain computing system for authentication;

retrieving, by the processor, the encrypted second dataset from the blockchain;

decrypting, by the processor, the encrypted second dataset to obtain the second dataset to authenticate that the blockchain has validated the generated blockchain transaction that includes the one or more biometric identifiers;

comparing, by the processor, the second dataset to a test dataset to determine if the second and test datasets are from a related data source and remains unchanged from the distorted biometric of the person; and

updating, by the processor, a new transaction record on the blockchain when the generated blockchain transaction has been validated.

2. The method of claim 1 , wherein the fuzzy data values are derived from a DNA sample.

3. The method of claim 1 , wherein the at least one range value comprises one of an upper limit value and a lower limit value, a percentage value, a delta value, a lower limit value, wherein the data value is an upper limit and an upper limit value, wherein the data value defines a low limit.

4. The method of claim 1 , wherein data series of the second dataset are ordered in a pseudo random pattern with respect to the data series of the first dataset.

5. The method of claim 1 , wherein the test and second datasets are determined to be from a related source when a majority of the corresponding data values of the test and second dataset are within corresponding ranges determined by the corresponding range values.

6. The method of claim 5 , wherein the second dataset is derived from a first DNA sample and the test dataset is derived from a second DNA sample.

7. The method of claim 6 , wherein the first and second datasets are determined to be from a related source when the first and second DNA samples are obtained from one person.

8. The method of claim 1 , wherein the signal indicative of the distorted biometric is a combination of two or more unique identity attributes, at least one of the unique identity attributes corresponding to the biometric of the person.

9. The method of claim 1 , wherein the biometric is at least one of an eye pattern, a fingerprint, a palm print, a voice sample, a handwriting sample, a face scan, and a DNA sample.

10. The method of claim 1 , wherein the blockchain is a plurality of distributed nodes that maintain a public ledger.

11. The method of claim 1 , wherein the blockchain is a private blockchain.

12. The method of claim 1 , further comprising:

distorting the biometric of the person before being submitted into the computing device.

13. The method of claim 1 , further comprising:

distorting the biometric of the person automatically after being submitted into the computing device.

14. A computer system, comprising:

a processor;

a memory device coupled to the processor; and

a computer readable storage device coupled to the processor, wherein the storage device contains program code executable by the processor via the memory device to implement a method for verifying that distorted biometric information received by a computing device is authentic, the method comprising:

receiving a signal indicative of a distorted biometric of a biometric of a person;

determining, by a processor, a DNA sequence code of the signal indicative of the distorted biometric signal;

generating, by the processor, a first dataset from a plurality of fuzzy data values based on the DNA sequence code, wherein each fuzzy data is transformed into a data value and at least one range value to obtain respective data values and range values, and wherein the respective data values and range values are arranged in at least two data series of the first dataset, respectively;

hashing using a hash function, by the processor, the first dataset, which is based on the DNA sequence code, to obtain a second dataset, that maintains a relationship of the respective data values and the range values arranged in the at least two data series;

encrypting, by the processor, the second dataset;

storing the encrypted second dataset into a blockchain to generate a blockchain transaction that includes one or more biometric identifiers;

publishing, by the processor, the generated blockchain transaction to a distributed blockchain computing system for authentication;

retrieving, by the processor, the encrypted second dataset from the blockchain;

decrypting, by the processor, the encrypted second dataset to obtain the second dataset to authenticate that the blockchain has validated the generated blockchain transaction that includes the one or more biometric identifiers;

comparing, by the processor, the second dataset to a test dataset to determine if the second and test datasets are from a related data source and remains unchanged from the distorted biometric of the person; and

, updating, by the processor, a new transaction record on the blockchain when the generated blockchain transaction has been validated.

15. The computer system of claim 14 , wherein the signal indicative of the distorted biometric is a combination of two or more unique identity attributes, at least one of the unique identity attributes corresponding to the biometric of the person.

16. The computer system of claim 14 , wherein the biometric is at least one of an eye pattern, a fingerprint, a palm print, a voice sample, a handwriting sample, a face scan, and a DNA sample.

17. The computer system of claim 14 , wherein the blockchain is a plurality of distributed nodes that maintain a public ledger.

18. The computer system of claim 14 , wherein the blockchain is a private blockchain.

19. The computer system of claim 14 , further comprising:

a distortion element for producing the signal indicative of the distorted biometric; and

an automatic sequencing device for generating the DNA sequence code.