June 20, 2022, 1:20 a.m. | Primal Pappachan, Chenxi Qiu, Anna Squicciarini, Vishnu Sharma Hunsur Manjunath

cs.CR updates on arXiv.org arxiv.org

A large body of literature exists for studying Location obfuscation in
different contexts. However, the obfuscation functions generated by existing
systems are not easily customizable by end users. Users might find it difficult
to understand the parameters involved (e.g., obfuscation range and granularity
of location representation) and set realistic trade-offs between privacy and
utility. In this paper, we propose a new framework called, TACO, i.e.,
Tree-based Approach to Customizing location Obfuscation, which can generate
location obfuscation functions that provide strong …

location obfuscation policies

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