Privacy Games: Optimal User-Centric Data Obfuscation

Privacy Games: Optimal User-Centric Data Obfuscation

Consider users who share their data (e.g., location) with an untrusted service provider to obtain a personalized (e.g., location-based) service. Data obfuscation is a prevalent user-centric approach to protecting users’ privacy in such systems: the untrusted entity only receives a noisy version of user’s data. Perturbing data before sharing it, however, comes at the price of the users’ utility ...

Optimal User-Centric Data Obfuscation

Perturbing information, before being shared with untrusted entities, is an effective and widely proposed approach to protect users’ privacy. However, the privacy of users and the utility of the obfuscated information are at odds with each other, and increasing one results in decreasing the other. In this paper, we propose a methodology for designing protection mechanisms that optimally trade ut...

Self-service Privacy: User-Centric Privacy for Network-Centric Identity

User privacy has become a hot topic within the identity management arena. However, the field still lacks comprehensive frameworks even though most identity management solutions include built-in privacy features. This study explores how best to set up a single control point for users to manage privacy policies for their personal information, which may be distributed (scattered) across a set of n...

User-Centric Privacy Preservation in Data-Sharing Applications

During data sharing process across people, users do not want the information that contains privacy to be shared with everyone else; some people may only want to share it with someone they are familiar with. To solve this issue of privacy preservation in data-sharing applications, we propose a novel user-centric method. Our main contributions include the followings. (1) Users can select key word...

Privacy-Centric Data Management