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This paper proposes a system, entitled Concealer that allows sharingtime-varying spatial data (e.g., as produced by sensors) in encrypted form toan untrusted third-party service provider to provide location-basedapplications (involving aggregation queries over selected regions over timewindows) to users. Concealer exploits carefully selected encryption techniquesto use indexes supported by database systems and combines ways to add faketuples in order to realize an efficient system that protects against leakagebased on output-size. Thus, the design of Concealer overcomes two limitationsof existing symmetric searchable encryption (SSE) techniques: (i) it avoids theneed of specialized data structures that limit usability/practicality of SSE inlarge scale deployments, and (ii) it avoids information leakages based on theoutput-size, which may leak data distributions. Experimental results validatethe efficiency of the proposed algorithms over a spatial time-series dataset(collected from a smart space) and TPC-H datasets, each of 136 Million rows,the size of which prior approaches have not scaled to.

Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets