Providing consistent data masking using causal ordering

1. A method, by a processor, for performing consistent data masking in a distributed computing environment, comprising:

performing a dictionary based data masking operation on one or more datasets with causal ordering of the one or more datasets to enable reconstruction of a state of one or more dictionaries for the one or more datasets; and

maintaining the state of the one or more dictionaries for the one or more datasets to facilitate the reconstruction, wherein maintaining the state includes maintaining, for each of the one or more datasets in the one or more dictionaries, a dictionary entry having an associated data masking value, each deletion of the dictionary entry of the one or more datasets, and the data masking value for each one of the one or more datasets indicating a time period of the data masking.

2. The method of claim 1 , further including reconstructing each state of the one or more dictionaries for each masked data value of the one or more datasets.

3. The method of claim 1 , further including reconstructing each state of the one or more dictionaries according to the dictionary entry in the one or more dictionaries along with the associated data masking value for each of the one or more datasets, each deletion of the dictionary entry of the one or more datasets, and the data masking value for each one of the one or more datasets indicating the time period of the data masking.

4. The method of claim 1 , further including storing each masked data value in the one or more dictionaries as a cryptographic hash function, wherein the one or more dictionaries are transaction ledgers.

5. The method of claim 1 , further including using a blockchain system for performing the dictionary based data masking operation on the one or more datasets with causal ordering of the one or more datasets.

6. A system for performing consistent data masking in a distributed computing environment, comprising:

one or more computers with executable instructions that when executed cause the system to:

perform a dictionary based data masking operation on one or more datasets with causal ordering of the one or more datasets to enable reconstruction of a state of one or more dictionaries for the one or more datasets; and

maintain the state of the one or more dictionaries for the one or more datasets to facilitate the reconstruction, wherein maintaining the state includes maintaining, for each of the one or more datasets in the one or more dictionaries, a dictionary entry having an associated data masking value, each deletion of the dictionary entry of the one or more datasets, and the data masking value for each one of the one or more datasets indicating a time period of the data masking.

7. The system of claim 6 , wherein the executable instructions reconstruct each state of the one or more dictionaries for each masked data value of the one or more datasets.

8. The system of claim 6 , wherein the executable instructions reconstruct each state of the one or more dictionaries according to the dictionary entry in the one or more dictionaries along with the associated data masking value for each of the one or more datasets, each deletion of the dictionary entry of the one or more datasets, and the data masking value for each one of the one or more datasets indicating the time period of the data masking.

9. The system of claim 6 , wherein the executable instructions store each masked data value in the one or more dictionaries as a cryptographic hash function, wherein the one or more dictionaries are transaction ledgers.

10. The system of claim 6 , wherein the executable instruction use a blockchain system for performing the dictionary based data masking operation on the one or more datasets with causal ordering of the one or more datasets.

11. A computer program product for, by a processor, performing consistent data masking in a distributed computing environment, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

an executable portion that performs a dictionary based data masking operation on one or more datasets with causal ordering of the one or more datasets to enable reconstruction of a state of one or more dictionaries for the one or more datasets; and

an executable portion that maintains the state of the one or more dictionaries for the one or more datasets to facilitate the reconstruction, wherein maintaining the state includes maintaining, for each of the one or more datasets in the one or more dictionaries, a dictionary entry having an associated data masking value, each deletion of the dictionary entry of the one or more datasets, and the data masking value for each one of the one or more datasets indicating a time period of the data masking.

12. The computer program product of claim 11 , further including an executable portion that maintains reconstruct each state of the one or more dictionaries for each masked data value of the one or more datasets.

13. The computer program product of claim 11 , further including an executable portion that reconstructs each state of the one or more dictionaries according to the dictionary entry in the one or more dictionaries along with the associated data masking value for each of the one or more datasets, each deletion of the dictionary entry of the one or more datasets, and the data masking value for each one of the one or more datasets indicating the time period of the data masking.

14. The computer program product of claim 11 , further including an executable portion that:

uses a blockchain system for performing the dictionary based data masking operation on the one or more datasets with causal ordering of the one or more datasets; and

stores each masked data value in the one or more dictionaries as a cryptographic hash function.