Anonyropy: An efficient anonymization scheme using entropy in smart mediator for mashup service

Recently, the mashup services linking multiple separated platforms have appeared on the Internet. However, to communicate between different platforms, those services need the Smart Mediator as a common relaying platform. The Smart Mediator receives data from various platforms and provides a uniform OpenAPI to the mashup service developer to ease the development procedures. One of the most important task of a Smart Mediator is to safeguard the user's privacy. Thus, it needs to provide anonymized personal data to the mashup services. In this paper, we propose an efficient anonymization scheme using entropy in the Smart Mediator. And we evaluate this scheme in the Smart Mediator. As a result, this scheme is more efficient other k when we are comparing attack risk rate and data loss rate. Through this scheme, we expect to shelter user's privacy and provide enough personal information to the mashup services.