Namespace Sensus.Anonymization.Anonymizers

Classes

Anonymizer

In-app anonymization is provided by applying various transformations to facets of the data that are generated. For example, numeric values can be rounded and textual data can be passed through one-way hash functions.

DateTimeOffsetTimelineAnonymizer

Anonymizes a date/time value by anchoring it to an arbitrary point in the past. The random anchor time is chosen from the first 1000 years AD, and the anonymized date/time values are calculated as intervals of time since the random anchor. Thus, the anonymized date/time values are only meaningful with respect to each other. Their absolute values will have no meaningful interpretation.

DoubleRoundingAnonymizer

Rounds numeric values to various levels of precision.

DoubleRoundingHundredsAnonymizer

Rounds numeric values to the hundreds place (e.g., 123 becomes 100).

DoubleRoundingHundredthsAnonymizer

Rounds numeric values to the hundredths place (e.g., 123.123 becomes 123.12).

DoubleRoundingOnesAnonymizer

Rounds numeric values to the ones place (e.g., 123.65 becomes 124).

DoubleRoundingTensAnonymizer

Rounds numeric values to the hundreds place (e.g., 123 becomes 120).

DoubleRoundingTenthsAnonymizer

Rounds numeric values to the hundreds place (e.g., 123.123 becomes 123.1).

DoubleRoundingThousandthsAnonymizer

Rounds numeric values to the hundreds place (e.g., 123.1235 becomes 123.124).

LongitudeOffsetGpsAnonymizer

Base class for anonymizers that operate by adding a random offset to the longitude of a GPS coordinate pair. Adding an offset to latitude is a generally bad idea because the distance between degrees of longitude vary tremendously across the latitudes.

LongitudeParticipantOffsetGpsAnonymizer

Anonymizer that operates by adding a random offset to the longitude of a GPS coordinate pair. The offset is chosen to be participant- specific. Thus, the resulting coordinates are only meaningful relative to other coordinates within a single participant's data set. They have no meaning in absolute terms, and they have no meaning relative to other participants' data.

LongitudeStudyOffsetGpsAnonymizer

Anonymizer that operates by adding a random offset to the longitude of a GPS coordinate pair. The offset is chosen to be study-specific. Thus, the resulting coordinates are only meaningful relative to other coordinates within a single study. They have no meaning in absolute terms, and they have no meaning relative to data from other studies.

StringHashAnonymizer

Computes a cryptographic, one-way has of a textual string.

ValueOmittingAnonymizer

Omits the data field altogether, resulting in a Datum that does not contain the field.