Research on the User Privacy Protection Method in Mobile Commerce

The wide application of mobile commerce has brought great convenience to people´s work and lives, however, the risk of privacy disclosure has been receiving more and more attention from the academia and industry. In this paper, after analyzing the privacy concerns in mobile commerce, the commonly used privacy preserving technologies in mobile environments are discussed. A privacy preserving operation model for the mobile commerce alliance providing location-based services is established. Aiming at preventing the sensitive homogeneity attack, an anonymity model for sensitive information is defined formally. Based on the anonymity model, a new cloaking algorithm named as EMDASS is described in detail, whose basic idea is exchanging and merging users. This algorithm can be used to protect the mobile user´s location, identifier and other sensitive information on road networks. Finally, the availability of the privacy preserving algorithm proposed is illustrated by an example.