LiDSec: A Lightweight Pseudonymization Approach for Textual Personal Information

Sharing personal information benefits both users and third parties in many ways. Recent advances in sensor networks and personal archives enable users to record all of their digital objects 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. Tools like these are expected to be even more relevant in the near future, as personal information valuable for third parties is going to be more privacy sensitive than ever. Privacy-preserving data sharing increases the data owners’ awareness of what they are actually sharing, thus rendering third party access more transparent. Keywords-Pseudonymization; Personal Information; Privacy; Security