This article discusses the generation of computationally valid social security numbers for the purposes of testing applications specific to Korean business interests. If you are interested in US social security number test data generation, see this article.
The Social Security Number (SSN) in the United States is similar to many other forms of national identification around the world, such that it is a number or set of characters that is designated to a citizen or person who has entered the country for an extended stay on a visa.
Update Q3’2019: Subsequent to the development of the IRI Voracity Add-On for Splunk described below, there is now also a Splunkbase-registered IRI Voracity App for Splunk available for Seamless Data Preparation, Indexing, and Visualization…
After our first examples of external unstructured data preparation and PII data masking for Splunk generated interest in these capabilities, IRI wanted to develop a direct integration from the Splunk user interface (UI).
Data masking is one method to combat the nearly 72,000 documented breaches of personally identifiable information (PII) that occur every day. With data privacy breaches still at unacceptably high levels, how can companies protect PII such as their national ID numbers across their myriad sources of data?