The amount of data collected by various organizations about individuals is continuously
increasing. This includes diverse data sources often for data of high dimensionality. Most of …

The publication of microdata is pivotal for medical research purposes, data analysis and
data mining. These published data contain a substantial amount of sensitive information, for …

Privacy preserving data publishing of electronic health record (EHRs) for 1 to M datasets
with multiple sensitive attributes (MSAs) is an interesting and challenging issue. There is …

Privacy preserving data publishing (PPDP) refers to the releasing of anonymized data for the
purpose of research and analysis. A considerable amount of research work exists for the …

The recent evolution of the Internet of Things in the healthcare sector has attained
substantial recognition from the government and industry. Healthcare data accumulated …

Featured Application The Merging method might apply to publish the datasets sequentially
from the different organizations where it will ensure more data utility and privacy. Abstract …

Privacy preserving data publishing has received considerable attention for publishing useful
information while preserving data privacy. The existing privacy preserving data publishing …

Data streams have become a widely-adopted data representation format in many real-world
applications. This data streaming may be published for different scientific research, mining …

Preserved privacy and enhanced utility are two competing requirements in data publishing.
For maintaining a trade-off between the two; a plethora of research work exist in 1: 1 …

The inability of traditional privacy-preserving models to protect multiple datasets based on
sensitive attributes has prompted researchers to propose models such as SLOMS …