Privacy Preserving Data Publishing: Using Overlapping Slicing and Attribute
Privacy preserving publishing is the kind of techniques to apply privacy to collected vast amount of data. The data publication processes are today still very difficult. Data often contains personally identifiable information and therefore releasing such data may result in privacy breaches; this is the case for the examples of microdata, e.g., census data and medical data. The proposed techniques in this project accelerate accessing speed of user as well as applying privacy to collected data. Several anonymization techniques were designed for privacy preserving data publishing.