Project on anonymization of data, particularly related to temporal attacks

Given n anonymized tables deriving from the same private table, published at different points of time, the challenge is to ensure that no information can be obtained by studying these tables. The passage of time did not help the attacker gain any information about the entities.

Hypothesis

Given a private table PT, having N attributes totally, out of which Personal Identifiable attributes , such as name, address, phone number etc are removed, Q are quasi identifiers : these are attributes which when used in combination can be used to decode the identity of the individual, and S sensitive attributes, which could be disease in case of health records, income in case of census etc, there could be multi-sensitive attributes as well, but the main focus here is addressing a table with many quasi-identifiers and

DGH for DOB

D0 - dd/mm/yyyy

D1 - mm/yyyy

D2 - yyyy

D3 - in ranges of 10 → year

D4 - in ranges of 25

D5 - in ranges of 50

D6 - the century born, 2021, 2020 → [2000] and 1900-1999 → [1900]

17/03/2000

03/2000