An evolutionary optimization approach for categorical data protection
Jordi Marés, Vicenç Torra · 2012
The continuous growing amount of public sensible data has increased the risk of breaking the privacy of people or institutions in those datasets. Many protection methods have been developed to solve this problem by either distorting or generalizing data but taking into account the difficult tradeoff between data utility (information loss) and protection against disclosure (disclosure risk).