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We propose a novel efficient Privacy-preserving Spatial Range Query (eP-SRQ) scheme in dual-cloud architecture over large-scale dataset.
In this paper, we aim at efficient and secure spatial queries over a data federation, which we call as federated spatial queries. We mainly study five queries ( ...
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A promising solution is to perform secure queries over a federation of multiple data owners leveraging secure multi-party computation (SMC) techniques, as ...
Nov 19, 2024 · In this paper, we propose a novel solution based on Geohash and predicate symmetric searchable encryption for secure range queries named as MixGeo.
We present a multi-level indexes structure tailored for efficient and large-scale spatial data lookup in the cloud server while preserving data privacy. Our ...
To solve these issues, we propose an efficient Privacy-preserving Spatial Range Query (PSRQ) scheme by skillfully combining Geohash algorithm with Circular ...
In this paper, a secure boolean range query scheme over encrypted spatial data is proposed. Hilbert curve and recoding algorithm are used to support efficient ...
Oct 22, 2024 · With the intensification of mobile devices, vast amounts of spatial data have been outsourced to cloud servers to provide query services.
This work proposes a novel efficient Privacy-preserving Spatial Range Query (eP-SRQ) scheme in dual-cloud architecture over large-scale dataset by designing ...
In this paper, we propose Hu-Fu, the first system for efficient and secure spatial query processing on a data federation.