Organizing the storing of information and data retrieval from databases is a crucial issue,
which has become more critical with the spreading of cloud and Internet of Things (IoT) …

For the past decade, query processing on relational data has been studied extensively, and
many theoretical and practical solutions to query processing have been proposed under …

In this paper, we investigate the secure nearest neighbor (SNN) problem, in which a client
issues an encrypted query point E (q) to a cloud service provider and asks for an encrypted …

Data Mining has wide applications in many areas such as banking, medicine, scientific
research and among government agencies. Classification is one of the commonly used …

Cloud computing has emerging as a promising pattern for data outsourcing and high-quality
data services. However, concerns of sensitive information on cloud potentially causes …

With the rapid development of Intelligent Transportation System (ITS), a large number of
spatial data are generated in ITS. Although outsourcing spatial data to the cloud server can …

In mobile communication, spatial queries pose a serious threat to user location privacy
because the location of a query may reveal sensitive information about the mobile user. In …

Users store vast amounts of sensitive data on a big data platform. Sharing sensitive data will
help enterprises reduce the cost of providing users with personalized services and provide …

Outsourcing database to clouds is a scalable and cost-effective way for large scale data
storage, management, and query processing. Trajectory data contain rich spatio-temporal …

Using geosocial applications, such as FourSquare, millions of people interact with their
surroundings through their friends and their recommendations. Without adequate privacy …