Mobile location-dependent information services (LDISs) have become increasingly popular in recent years. However, data caching strategies for LDISs have thus far received little at...
When disseminating data involving human subjects, researchers have to weigh in the requirements of privacy of the individuals involved in the data. A model widely used for enhancin...
There is an inherent tension between the value provided by Location-Based Services (LBSs) and the location-privacy concerns they raise. Unfortunately, users are often forced to ei...
Justin Manweiler, Ryan Scudellari, Zachary Cancio,...
We investigate how to obtain a balance between privacy and audit requirements in vehicular networks. Challenging the current trend of relying on asymmetric primitives within VANET...
Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from ...