High Recovery with Fewer Injections: Practical Binary Volumetric Injection Attacks against Dynamic Searchable Encryption
February 11, 2023 Β· Declared Dead Β· π USENIX Security Symposium
"No code URL or promise found in abstract"
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Authors
Xianglong Zhang, Wei Wang, Peng Xu, Laurence T. Yang, Kaitai Liang
arXiv ID
2302.05628
Category
cs.CR: Cryptography & Security
Citations
28
Venue
USENIX Security Symposium
Last Checked
3 months ago
Abstract
Searchable symmetric encryption enables private queries over an encrypted database, but it also yields information leakages. Adversaries can exploit these leakages to launch injection attacks (Zhang et al., USENIX'16) to recover the underlying keywords from queries. The performance of the existing injection attacks is strongly dependent on the amount of leaked information or injection. In this work, we propose two new injection attacks, namely BVA and BVMA, by leveraging a binary volumetric approach. We enable adversaries to inject fewer files than the existing volumetric attacks by using the known keywords and reveal the queries by observing the volume of the query results. Our attacks can thwart well-studied defenses (e.g., threshold countermeasure, static padding) without exploiting the distribution of target queries and client databases. We evaluate the proposed attacks empirically in real-world datasets with practical queries. The results show that our attacks can obtain a high recovery rate (>80%) in the best case and a roughly 60% recovery even under a large-scale dataset with a small number of injections (<20 files).
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