Distributed database system (DDBS) technology has shown its advantages with respect to
query processing efficiency, scalability, and reliability. Moreover, by partitioning attributes of …

Data privacy and utility are two essential requirements in outsourced data storage.
Traditional techniques for sensitive data protection, such as data encryption, affect the …

Data outsourcing is an emerging paradigm that allows users and companies to give their
(potentially sensitive) data to external servers that then become responsible for their storage …

According to the recent rule released by Health and Human Services (HHS), healthcare data
can be outsourced to cloud computing services for medical studies. A major concern about …

Ensuring proper privacy and protection of the information stored, communicated, processed,
and disseminated in the cloud as well as of the users accessing such an information is one …

We put forward a novel paradigm for preserving privacy in data outsourcing which departs
from encryption. The basic idea behind our proposal is to involve the owner in storing a …

With the advent of cloud computing, data owner is motivated to outsource their data to the
cloud platform for great flexibility and economic savings. However, the development is …

Background The collection of data and biospecimens which characterize patients and
probands in-depth is a core element of modern biomedical research. Relevant data must be …

Fragmentation has been recently proposed as a promising approach to protect the
confidentiality of sensitive associations whenever data need to undergo external release or …

Storage as a service has become an important paradigm in cloud computing for its great
flexibility and economic savings. However, the development is hampered by data privacy …