Traditional privacy-preserving search schemes have commonly used the TF-IDF model,
which relies on keyword frequency statistics but neglects the semantic relationships …

Spatial keyword queries are attractive techniques that have been widely deployed in real-life
applications in recent years, such as social networks and location-based services. However …

Boolean range query, as one typical spatial keyword query, has received more and more
attention and been widely deployed in many applications. To release the storage and …

GPS-enabled Internet of Things devices, which can obtain the location and temporal
information of installed objects to promote location-based service, are completely changing …

As cloud computing and Internet of Things (IoT) are becoming more and more deeply
integrated, the new secure challenge for IoT data has attracted great attention. Privacy …

Cloud has scalable storage and massive computing power, attracting data owners to
outsource their data. However, owing to privacy concerns, data is typically encrypted prior to …

This work addresses expressive queries over encrypted data by presenting the first
systematic study of multi-attribute range search on a symmetrically encrypted database …

The rapid progress in the field of IoT and its wide-ranging applications emphasize the
criticality of robust security measures for effectively sharing, storing, and managing sensitive …

The development of cloud computing has met the growing demand for dataset search in the
era of massive data. In the field of spatial dataset search, the high prevalence of sensitive …

Traditional searchable encryption schemes construct document vectors based on the term
frequency‐inverse document frequency (TF‐IDF) model. Such vectors are not only high …