LiDSec- A Lightweight Pseudonymization Approach for Privacy-Preserving Publishing of Textual Personal Information

Abstract

Sharing personal information benefits both data providers and data consumers in many ways. Recent advances in sensor networks and personal archives enable users to record personal information including emails, social networking activities, or life events (life logging). These information objects are usually privacy sensitive and thus need to be protected adequately when being shared. In this work, we present a lightweight pseudonymization framework which allows users to benefit from sharing their personal information while still preserving their privacy. Furthermore, this approach increases the data owners' awareness of what information they are sharing, thus rendering data publishing more transparent.