In recent years, the data mining techniques invarious areas have met serious challenges increasingconcernsaboutprivacy. Different techniques and algorithms have been already presented for Privacy preserving data mining (PPDM), which could be classified in two scenarios: centralized data scenario and distributed data scenario. This paper presents a Framework for classification and evaluation of ...

In recent years, the data mining techniques have met a serious challenge due to the increased concerning and worries of the privacy, that is, protecting the privacy of the critical and sensitive data. Different techniques and algorithms have been already presented for Privacy Preserving data mining, which could be classified in three common approaches: Data modification approach, Data sanitizat...

Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the protection of sensible information has a relevant role. Thus privacy is becoming an increasingly important issue in many data mining applications. For that privacy secure distributed computation, which was done as part o...

Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the protection of sensible information has a relevant role. Thus privacy is becoming an increasingly important issue in many data mining applications. For that privacy secure distributed computation, which was done as part o...

Privacy preserving data mining deals with hiding an individual’s sensitive identity without sacrificing the usability of data. It has become a very important area of concern but still this branch of research is in its infancy .People today have become well aware of the privacy intrusions of their sensitive data and are very reluctant to share their information. The major area of concern is that...