Privacy-preserving data mashup

Mashup is a web technology that combines information from more than one source into a single web application. This technique provides a new platform for different data providers to flexibly integrate their expertise and deliver highly customizable services to their customers. Nonetheless, combining data from different sources could potentially reveal person-specific sensitive information. In this paper, we study and resolve a real-life privacy problem in a data mashup application for the financial industry in Sweden, and propose a privacy-preserving data mashup (PPMashup) algorithm to securely integrate private data from different data providers, whereas the integrated data still retains the essential information for supporting general data exploration or a specific data mining task, such as classification analysis. Experiments on real-life data suggest that our proposed method is effective for simultaneously preserving both privacy and information usefulness, and is scalable...

• Type: Conference
• Year: 2009
• Where: EDBT
• Authors: Noman Mohammed, Benjamin C. M. Fung, Ke Wang, Patrick C. K. Hung
• Keywords: Data Mashup, Data Mashup Application, Database, Different Data Providers, EDBT 2009