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Creators/Authors contains: "Han, Shanshan"

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  1. ; ; ; ; (, Proceedings of the ACM on Management of Data)
    This paper addresses volume leakage (i.e., leakage of the number of records in the answer set) when processing keyword queries in encrypted key-value (KV) datasets. Volume leakage, coupled with prior knowledge about data distribution and/or previously executed queries, can reveal both ciphertexts and current user queries. We develop a solution to prevent volume leakage, entitled Veil, that partitions the dataset by randomly mapping keys to a set of equi-sized buckets. Veil provides a tunable mechanism for data owners to explore a trade-off between storage and communication overheads. To make buckets indistinguishable to the adversary, Veil uses a novel padding strategy that allow buckets to overlap, reducing the need to add fake records. Both theoretical and experimental results show Veil to significantly outperform existing state-of-the-art. 
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  2. ; ; ; ; ; ; (, IEEE World Congress on Services (SERVICES), 2022.)
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  3. ; ; ; ; ; ; (, IEEE Transactions on Services Computing)
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  4. ; ; ; ; ; ; ; ; ; ; et al (, SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems)
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