Bucketing

Apply individual variance tolerances to protect the identity of the originating data

StreamEvent date and number values can be obfuscated using individual variance tolerances to protect the identity of the originating data structure.

This is more akin to blurring rather than obfuscation.

Date Variance

Each date value for a specified field will be varied by a random number of days, whilst maintaining the original variance, range and distribution.

This can useful where it would otherwise be possible to identify individuals by an exact match, such as date of birth.

Example

Give an approximate value for age information.

obfuscation:
  name: dateBucketing
  fields:
    dateOfBirth:
      date bucketing:
        variance: 30

Attributes schema

Attribute	Description	Data Type	Required
variance	Maximum number of days to vary the source date	Integer Default: 120

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Number Variance

Each number can be varied by a random percentage, whilst maintaining the original variance, range and distribution.

This can useful where it would otherwise be possible to identify individuals salary by an exact match.

Example

Give an approximate value for salary information.

obfuscation:
  name: numberBucketing
  fields:
    salary:
      number bucketing:
        variance: 0.25
    age: 
      number bucketing:
        variance: 0.10

Attributes schema

Attribute	Description	Data Type	Required
variance	Variance multiplier to be applied to random masking process	Double Default: 0.15