Veil: A Storage and Communication Efficient Volume-Hiding Algorithm
Shanshan Han, Vishal Chakraborty, Michael T. Goodrich, Sharad Mehrotra, Shantanu Sharma
Abstract
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-o 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 signi cantly outperform existing state-of-the-art. CCS Concepts: • Security and privacy → Management and querying of encrypted data; • Information systems → Information retrieval query processing; Data management systems.
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