Mash up is a web technology that combines information from more than one source into a single web application.
Upon receiving a service request, the data mash up web application (mash up coordinator) dynamically determines the data providers, collects information from them through their web service interface (API), and then integrates the collected information to fulfill the service request. Experiments on real-life data suggest that our proposed method is effective for simultaneously preserving both privacy and information usefulness PROJECT OUTPUT VIDEO:ĭata mash upis a special type of mash up application that aims at integrating data from multiple data providers depending on the user’s service request.Ī service request could be a general data exploration or a sophisticated data mining task such as classification analysis. Therefore we propose a service-oriented architecture for privacy-preserving data mash up together with a multiparty protocol to securely integrate private data from different data providers, whereas the integrated data still retains the essential information for supporting general data exploration for a specific data mining task, such as classification analysis. In this paper, we study and resolve a real-life privacy problem in a data mash up application for the financial industry in Sweden. Nonetheless, combining data from different sources could potentially reveal person-specific sensitive information. This technique provides a new platform for different data providers to flexibly integrate their expertise and deliver highly customizable services to their customers.