SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores
Leqian Zheng, Lei Xu, Cong Wang, Sheng Wang, Yuke Hu, Zhan Qin, Feifei, Li, Kui Ren

TL;DR
SWAT is a flexible, efficient system that mitigates multiple leakage patterns in encrypted data stores, offering tunable privacy and performance trade-offs tailored to different workload types.
Contribution
The paper introduces SWAT, a novel system that provides workload-specific, tunable leakage mitigation with provable security guarantees, improving privacy-efficiency balance in encrypted data stores.
Findings
SWAT achieves near encryption-only performance with significant leakage mitigation.
SWAT is an order of magnitude slower than encryption-only but faster than zero-leakage solutions.
Performance of SWAT remains competitive compared to existing leakage-specific mitigation methods.
Abstract
Numerous studies have underscored the significant privacy risks associated with various leakage patterns in encrypted data stores. While many solutions have been proposed to mitigate these leakages, they either (1) incur substantial overheads, (2) focus on specific subsets of leakage patterns, or (3) apply the same security notion across various workloads, thereby impeding the attainment of fine-tuned privacy-efficiency trade-offs. In light of various detrimental leakage patterns, this paper starts with an investigation into which specific leakage patterns require our focus in the contexts of key-value, range-query, and dynamic workloads, respectively. Subsequently, we introduce new security notions tailored to the specific privacy requirements of these workloads. Accordingly, we propose and instantiate SWAT, an efficient construction that progressively enables these workloads, while…
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Taxonomy
TopicsAdvanced Data Storage Technologies · Cryptography and Data Security · Security and Verification in Computing
