Nearest neighbor search (or k-nearest neighbor search in general) is one of the most
fundamental queries on massive datasets, and it has extensive applications such as pattern …

With searchable encryption, a data user is able to perform meaningful search on encrypted
data stored in the public cloud without revealing data privacy. Besides handling simple …

Cloud computing promises users massive scale outsourced data storage services with much
lower costs than traditional methods. However, privacy concerns compel sensitive data to be …

Geometric range search is a fundamental primitive for spatial data analysis in SQL and
NoSQL databases. It has extensive applications in location-based services, computer-aided …

With the location-based services (LBS) booming, the volume of spatial data inevitably
explodes. In order to reduce local storage and computational overhead, users tend to …

With cloud services, users can easily host their data in the cloud and retrieve the part
needed by search. Searchable encryption is proposed to conduct such process in a privacy …

Recently, Yuan et al.(IEEE Infocom'13, pp. 2652-2660) proposed an efficient secure nearest
neighbor (SNN) search scheme on encrypted cloud database. Their scheme is claimed to …

Searchable symmetric encryption (SSE) has been studied extensively for its full potential in
enabling exact-match queries on encrypted records. Yet, situations for similarity queries …

Cloud-assisted Internet of Things (IoT) is increasingly prevalent used in various fields, such
as the healthcare system. While in such a scenario, sensitive data (eg, personal electronic …

At present, searchable encryption is a very promising direction in the field of cloud
computing. However, most existing works focus on keyword-based search schemes and …