Abstract This paper gives an overview of my Invited Plenary Lecture at the International Congress Industrial and Applied Mathematics (ICIAM) in Valencia July 2019.

Due to the increasing popularity of cloud computing, more and more data owners are motivated to outsource their data to cloud servers for great convenience and reduced cost in data management. However, sensitive data should be encrypted before outsourcing for privacy requirements, which obsoletes data utilization like keyword-based document retrieval. In this paper, we present a secure multi-ke...

Data-owners who possess large confidential data are looking for methods to securely store and efficiently query their data when using database services. In this paper we focus on “database as a service” concept and propose a methodology that securely and efficiently queries encrypted XML documents using parallel processing. The content of the database is not revealed to the service provider and...

Privacy-preserving query processing (P 3Q) techniques are increasingly important on partitioned databases, where relational queries have to be executed on horizontal data partitions held by different data owners. To conduct queries on the entire data partitions, the data owners may jointly collaborate to one another for sharing their private data or delegate them to an external service provider...

Two major challenges to enabling secure interoperation among web-information sources are resolving semantic heterogeneity across websites and maintaining the privacy of the data and metadata of organizations owning the websites. In this paper, we propose SACE, a novel, implemented middleware toolkit that enables privacy-preserving secure semantic access control and allows queries to be answered...