iris-disguise

iris-Disguise is a tool for Data Anonymization on InterSystems IRIS.

iris-Disguise helps you to build anonymized production data dumps which you can use for performance testing, security testing, debugging, and development.

Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. Wikipedia

iris-Disguise provides a set of anonymization strategies:

• Destruction Sometimes the fastest and the best approach to anonymize a data is to replace all the values with the word CONFIDENTIAL
• Randomization Generate purely random data
• Faking Replace data with random but plausible fake values
• Partial Masking leaves out some part of the data
• Scramble Given “ABCDEFG”, return something like “GEFBDCA”
• Shuffling mixes values within the same columns

Video demonstration

Prerequisites

Make sure you have git and Docker desktop installed.

Installation

Open terminal and clone/git pull the repo into any local directory as shown below:

git clone https://github.com/henryhamon/iris-disguise.git

Open the terminal in this directory and run:

docker-compose build

Installation with ZPM

zpm:USER>install iris-disguise

How to Test

Unit Test

Open IRIS terminal:

docker-compose exec iris iris session iris -U IRISAPP

set ^UnitTestRoot = "/opt/irisbuild/src/iris/dc/Test/Disguise/"
Do ##class(%UnitTest.Manager).RunTest("","/loadudl")

How to Use

Destruction

This strategy will replace a entire column with a word (‘CONFIDENTIAL’ is the default).

Do ##class(dc.Disguise.Strategy).Destruction("classname", "propertyname", "Word to replace")

The third parameter is optional. If not provided, the word ‘CONFIDENTIAL’ will be used.

Scramble

This strategy will scrambling all characters in a property.

Do ##class(dc.Disguise.Strategy).Scramble("classname", "propertyname")

Shuffling

Shuffling will rearrange all values in a given property. Is not a masking strategy because it works “vertically”.
This strategy is useful for relationships because referential integrity will be kept.
Until this version, this method only works on one-to-many relationships.

Do ##class(dc.Disguise.Strategy).Shuffling("classname", "propertyname")

Partial Masking

This strategy will obfuscate the part of data, a credit card number for example, can be replaced by 456X XXXX XXXX X783

Do ##class(dc.Disguise.Strategy).PartialMasking("classname", "propertyname", prefixLength, suffixLength, "mask")

PrefixLength, suffixLength and mask are optional. If not provided, the default values will be used.

Randomization

This strategy will generate purely random data. There are three types of randomization: integer, numeric and date.

Do ##class(dc.Disguise.Strategy).Randomization("classname", "propertyname", "type", from, to)

type: “integer”, “numeric” or “date”. “integer” is the default.

from and to are optional. Is to define the range of randomization.
For integer type the default range is 1 to 100. For numeric type the default range is 1.00 to 100.00.

Fake Data

The idea of Faking is to replace data with random but plausible values.
iris-Disguise provides a small set of methods to generate fake data.

Do ##class(dc.Disguise.Strategy).Fake("classname", "propertyname", "type")

type: “firstname”, “lastname”, “fullname”, “company”, “country”, “city” and “email”

Wearing the disguise Glasses

Another way to use iris-Disguise is wearing the disguise glasses. In a persistent class, you can extend the dc.Disguise.Glasses class and change any property with the data type with the strategy of your choice.
After that just call DisguiseProcess method in your class. All the values will be replaced using the strategy of the data type.

Data types:

• PartialMaskString
• RandomInteger
• RandomNumeric
• FakeString: FieldStrategy parameters: “FIRSTNAME”, “LASTNAME”, “FULLNAME”, “COMPANY”, “COUNTRY”, “CITY” AND “EMAIL”
• String: FieldStrategy parameters: “DESTRUCTION”,“SCRAMBLE” AND “SHUFFLING”

Credits

Icon by Flaticon from www.flaticon.com

Author

• Henry “HammZ” Hamon github