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Record linkage from multiple, independent and heterogeneous databases is a major area of database research. However, little attention has been paid to the privacy concerns of colluding databases. Activities such as sharing data for scientific research, monitoring disease symptoms over a region or developing large e-commerce market place, all require large scale data integration among different organizations...
The number and size of different kinds of electronic files (text, pictures and videos) incorporated into eLearning environments were dramatically increased during the last ten years and this triggered a development of new web based systems for that specific environment. These systems were developed to satisfy current and specific users' needs which lead to appearance of very heterogeneous environments...
In industries such as healthcare, there is a need to electronically share privacy-sensitive data across distinct organizations. We show how this can be done while allowing organizations to keep their legacy databases and maintain ownership of the data that they currently store. Without sending or mirroring data to any trusted, centralized entity, we demonstrate how queries can be answered in a distributed...
Privacy is an issue of increasing concern to the Internet user. To ensure the continued success of distributed information systems, a reliable information flow must be established in certified but immediately evident ways. We begin with basic consideration of the privacy problem in the general setting of database enquiries. From there, we develop a simple solution, which we illustrate with a simple...
Record linkage is the computation of the associations among records of multiple databases. It arises in contexts like the integration of such databases, online interactions and negotiations, and many others. The autonomous entities who wish to carry out the record matching computation are often reluctant to fully share their data. In such a framework where the entities are unwilling to share data...
The article presents relation decomposition as a method of preserving data confidentiality in new distributed spatial data warehouse architecture that we proposed. Each node in new architecture has its own privacy preserving module which can communicate with other modules. It enables parallel query processing through all privacy preserving modules and as a result it shortens the time of query processing...
Given a large integer data set shared vertically by two parties, we consider the problem of securely computing a score separating the kth and the (k + 1) to compute such a score while revealing little additional information. The proposed protocol is implemented using the Fairplay system and experimental results are reported. We show a real application of this protocol as a component used in the secure...
The field of distributed data mining (DDM) has emerged as an active area in recent years because the key challenge in knowledge discovery is the extraction of knowledge from massive databases. Rough set theory (RST) is one of the powerful approaches in data mining, which has been demonstrated to have its usefulness in successfully solving a variety of problems. But there is almost no literature related...
The field of distributed data mining (DDM) has emerged as an active area in recent years because the key challenge in knowledge discovery is the extraction of knowledge from massive databases. Rough set theory (RST) is one of the powerful approaches in data mining, which has been demonstrated to have its usefulness in successfully solving a variety of problems. But there is almost no literature related...
As the development of the grid technology, it becomes more and more important in commerce application to preserve privacy and prevent information from being leaked when querying in a dynamic and heterogeneous grid database. This paper proposes a privacy-preserving query middleware PVOM (privacy-preserving visual organizations mediator) based on the security requirement of heterogeneous grid nodes,...
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