Inject Less, Recover More: Unlocking the Potential of Document Recovery in Injection Attacks Against SSE

ePrint Report: Inject Less, Recover More: Unlocking the Potential of Document Recovery in Injection Attacks Against SSE

Manning Zhang, Zeshun Shi, Huanhuan Chen, Kaitai Liang

Searchable symmetric encryption has been vulnerable to inference attacks that rely on uniqueness in leakage patterns. However, many keywords in datasets lack distinctive leakage patterns, limiting the effectiveness of such attacks. The file injection attacks, initially proposed by Cash et al. (CCS 2015), have shown impressive performance with 100% accuracy and no prior knowledge requirement. …

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