Similar Data is Powerful: Enhancing Inference Attacks on SSE with Volume Leakages

ePrint Report: Similar Data is Powerful: Enhancing Inference Attacks on SSE with Volume Leakages

Björn Ho, Huanhuan Chen, Zeshun Shi, Kaitai Liang

Searchable symmetric encryption (SSE) schemes provide users with the ability to perform keyword searches on encrypted databases without the need for decryption. While this functionality is advantageous, it introduces the potential for inadvertent information disclosure, thereby exposing SSE systems to various types of attacks. In this work, we introduce a new inference attack aimed at enhancing the query …

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