Privacy Preserving Data Mining for Deliberative Consultations
AbstractIn deliberative consultations, which utilise electronic surveys as a tool to obtain information from residents, preserving privacy plays an important role. In this paper investigation of a possibility of privacy preserving data mining techniques application in deliberative consultations has been conducted. Three main privacy preserving techniques; namely, heuristic-based, reconstruction-based, and cryptography-based have been analysed and a setup for online surveys performed within deliberative consultations has been proposed. This work can be useful for designers and administrators in the assessment of the privacy risks they face with a system for deliberative consultations. It can also be used in the process of privacy preserving incorporation in such a system in order to help minimise privacy risks to users.
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.