A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
—The recent surge of popularity has established Mashups as an important category of Web 2.0 applications. Mashups are essentially Web services that are often created by end-users...
Osama Al-Haj Hassan, Lakshmish Ramaswamy, John A. ...
Privacy preserving data mining and statistical disclosure control have introduced several methods for data perturbation that can be used for ensuring the privacy of data respondent...
Abstract. The current Web 2.0 stage of the Internet provided the basis for web-based communities and services aimed at collaboration and information sharing. Furthermore, Internet ...
Privacy preservation in the information society is in many respects parallel to environment preservation in the physical world. In this way, “green ICT services” are those achi...