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

Efficient privacy-preserving algorithms are used in internet of things (IoT) applications,
virtualization and edge computing environments to decrease the high data disclosure risk …

Data fragmentation has been proposed as a solution for protecting the confidentiality of
sensitive associations when releasing data for publishing or external storage. To enrich the …

Data fragmentation has been proposed as a solution for protecting the confidentiality of
sensitive associations when publishing data at external servers. To enrich the utility of the …

Data sharing and dissemination play a key role in our information society. Not only do they
prove to be advantageous to the involved parties, but they can also be fruitful to the society …

There has recently been a surge of interest in relational database mining that aims to
discover useful patterns across multiple interlinked database relations. It is crucial for a …

Relational database mining, where data are mined across multiple relations, is increasingly
commonplace. When considering a complex database schema, it becomes difficult to …

Consider a scenario where one aims to learn models from data being characterized by very
large fluctuations that are neither attributable to noise nor outliers. This may be the case, for …

Provable security is one of the greatest achievements of modern cryptography. When
proving the security of a cryptographic scheme, its security properties are reduced to …

Multirelational classification algorithms aim to discover patterns across multiple interlinked
tables in a relational database. However, when considering a complex database schema, it …