Toward Analyzing Privacy and Utility of Mobile User Data
Shyue-Liang Wang, Min-Jye Hsiu, I‐Hsien Ting, Tzung‐Pei Hong · 2015
Mobile user data are collected around the clock and through agile service providers which can offer great services for health cares, business activities, and other personal or social services, etc. However, data could be misused and privacy could potentially be breached which might lead to harmful consequences. A few privacy-preserving techniques have been proposed to anonymize sensitive mobile context before releasing data to service providers. Nevertheless, it also reduces the utility of data that supposed to provide helpful services. As such, we propose a unified approach to define privacy gain and utility loss due to anonymizing sensitive context on mobile user data. Evaluation on various anonymization techniques, comparisons of their performances and trade-offs between privacy and utility are presented and analyzed.