Too Close for Comfort? Measuring Success of Sampled-Data Leakage Attacks Against Encrypted Search

ePrint Report: Too Close for Comfort? Measuring Success of Sampled-Data Leakage Attacks Against Encrypted Search

Dominique Dittert, Thomas Schneider, Amos Treiber

The well-defined information leakage of Encrypted Search Algorithms (ESAs) is predominantly analyzed by crafting so-called leakage attacks. These attacks utilize adversarially known auxiliary data and the observed leakage to attack an ESA instance built on a user's data. Known-data attacks require the auxiliary data to be a subset of the user's data. In contrast, sampled-data attacks merely rely on …

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