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Creators/Authors contains: "Paul Grubbs, Anurag Khandelwal"

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  1. (, USENIX Security Symposium)
    We present PANCAKE, the first system to protect key-value stores from access pattern leakage attacks with small constant factor bandwidth overhead. PANCAKE uses a new approach, that we call frequency smoothing, to transform plaintext ac- cesses into uniformly distributed encrypted accesses to an encrypted data store. We show that frequency smoothing prevents access pattern leakage attacks by passive persis- tent adversaries in a new formal security model. We inte- grate PANCAKE into three key-value stores used in produc- tion clusters, and demonstrate its practicality: on standard benchmarks, PANCAKE achieves 229× better throughput than non-recursive Path ORAM — within 3–6× of insecure base- lines for these key-value stores. 
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    Accepted Manuscript Full Text Available