US 2021/0232701 A1 · SYSTEMS AND METHOD OF CONTEXTUAL DATA MASKING FOR PRIVATE AND SECURE DATA LINKAGE

Abstract

The present disclosure relates to methods and systems for contextual data masking and registration. A data masking process may include classifying ingested data, processing the data, and tokenizing the data while maintaining security/privacy of the ingested data. The data masking process may include data configuration that comprises generating anonymized labels of the ingested data, validating an attribute of the ingested data, standardizing the attribute into a standardized format, and processing the data via one or more rules engines. One rules engine can include an address standardization that generates a list of standard addresses that can provide insights into columns of the ingested data without externally transmitting the client data. The masked data can be tokenized as part of the data masking process to securely maintain an impression of the ingested data and generate insights into the ingested data.

Claims22

Dependent claims

A computer-implemented method for securely classifying and tokenizing data, the method comprising:

ingesting a dataset corresponding to a client;
inspecting the dataset to identify a classifier that is indicative of a characteristic of an attribute included in the dataset;
retrieving client-specific encryption information and client-specific configuration information that includes a listing of anonymized labels that are indicative of types of information included in the dataset;
identifying a label included in the listing of anonymized labels that corresponds to a type of information in the attribute based on the identified classifier;
processing the attribute of the dataset to generate a modified attribute that is modified into a standardized format;
and
generating a tokenized version of the modified attribute, including:
hashing the modified attribute using a hash salt and encryption key included in the client-specific encryption information to generate a hashed modified attribute;
comparing the label with a tag store including a series of client-specific tags to identify a first tag that corresponds to the label;
and
generating a contextualized token of the modified attribute that includes the first tag.

8 more elements

A method performed by a computing node to generate a tokenized impression of client data, the method comprising:

obtaining a stream of data corresponding to a client from a client node, the stream of data including a series of datasets;
for each dataset included in the stream of data
inspecting the dataset to identify a classifier that is indicative of a characteristic of an attribute included in the dataset;
identifying a label included in a listing of client-specific labels that corresponds to the dataset;
processing the attribute using a series of rules engines configured to modify the attribute according to the series of rules engines;
and
generating a token that includes a tokenized version of the modified attribute;
and
sending generated tokens for the stream of data to a network-accessible server system configured to maintain the generated tokens.

6 more elements

A tangible, non-transient computer-readable medium having instructions stored thereon that, when executed by a processor, cause the processor to:

ingest a dataset corresponding to a client;
identify a classifier that is indicative of a characteristic of an attribute included in the dataset;
retrieve client-specific encryption information and client-specific configuration information that includes a listing of anonymized labels that are indicative of types of information included in the dataset;
identify a label included in the listing of anonymized labels that corresponds to a type of information included in the attribute based on the identified classifier;
modify the attribute of the dataset to generate a modified attribute;
and
generate a tokenized version of the modified attribute, including:
hash the modified attribute using a hash code included in the client-specific encryption information to generate a hashed modified attribute;
compare the label with a tag store including a series of client-specific tags to identify a first tag that corresponds to the label;
and
generate a contextualized token of the modified attribute that includes the first tag.

8 more elements

Dependencies are inferred from the claim text.

Systems and method of contextual data masking for private and secure data linkage

Life of this patent

Systems and method of contextual data masking for private and secure data linkage

Life of this patent

Abstract

Claims22