Recent advances in telecommunications and database systems have allowed the scientific
community to efficiently mine vast amounts of information worldwide and to extract new …

Database fragmentation has been used as a protection mechanism of database's privacy by
allocating attributes with sensitive associations into separate data fragments. A typical …

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

Database fragmentation can protect the distributed database's privacy by dividing attributes
of sensitive associations into different fragments. Previous database fragmentation …

By breaking sensitive associations between attributes, database fragmentation can protect
the privacy of outsourced data storage. Database fragmentation algorithms need prior …

k-Anonymity is a well-known privacy model originally designed to protect the identities of the
individuals involved in the release of a data collection. It provides a privacy requirement and …

Recent ICTs paradigms such as cloud computing, data outsourcing, digital data markets,
and the spread of multiple social media based on Web 2.0 technologies, facilitate the …

-Anonymity and-diversity are two well-known privacy metrics that guarantee protection of the
respondents of a dataset by obfuscating information that can disclose their identities and …

Vertical fragmentation is a promising technique for outsourced data storage. It can protect
data privacy while conserving original data without any transformation. Previous vertical …

In outsourcing data storage, privacy and utility are significant concerns. Techniques such as
data encryption can protect the privacy of sensitive information but affect the efficiency of …