Anonymization techniques for privacy preserving data publishing: A comprehensive survey

A Majeed, S Lee - IEEE access, 2020 - ieeexplore.ieee.org
Anonymization is a practical solution for preserving user's privacy in data publishing. Data
owners such as hospitals, banks, social network (SN) service providers, and insurance …

A survey on privacy properties for data publishing of relational data

A Zigomitros, F Casino, A Solanas, C Patsakis - IEEE Access, 2020 - ieeexplore.ieee.org
Recent advances in telecommunications and database systems have allowed the scientific
community to efficiently mine vast amounts of information worldwide and to extract new …

Methods and tools for healthcare data anonymization: a literature review

O Vovk, G Piho, P Ross - International Journal of General Systems, 2023 - Taylor & Francis
Healthcare is a rapidly evolving field. Such development creates opportunities to provide
better quality, evidence-based treatment, however, increasing privacy violations …

An efficient privacy mechanism for electronic health records

A Anjum, KKR Choo, A Khan, A Haroon, S Khan… - computers & …, 2018 - Elsevier
Electronic health records (EHRs), digitization of patients' health record, offer many
advantages over traditional ways of kee** patients' records, such as easing data …

Improved generalization for secure data publishing

S Yaseen, SMA Abbas, A Anjum, T Saba, A Khan… - IEEE …, 2018 - ieeexplore.ieee.org
In data publishing, privacy and utility are essential for data owners and users respectively,
which cannot coexist well. This incompatibility puts the data privacy researchers under an …

Fuzzy-logic-based privacy-aware dynamic release of IoT-enabled healthcare data

H Attaullah, T Kanwal, A Anjum… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The recent evolution of the Internet of Things in the healthcare sector has attained
substantial recognition from the government and industry. Healthcare data accumulated …

Privacy-preserving model and generalization correlation attacks for 1: M data with multiple sensitive attributes

T Kanwal, SAA Shaukat, A Anjum, KKR Choo… - Information …, 2019 - Elsevier
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 …

Data protection: Privacy-preserving data collection with validation

J Hou, D Liu, C Huang, W Zhuang… - … on Dependable and …, 2023 - ieeexplore.ieee.org
The ubiquitous data collection has raised potential risks of leaking physical and private
attribute information associated with individuals in a collected dataset. A data collector who …

A taxonomy of syntactic privacy notions for continuous data publishing

AT Nicolau, J Parra-Arnau, J Forné - IEEE access, 2024 - ieeexplore.ieee.org
Continuous data publishing aims to anonymise the next publication of changing microdata
while preserving privacy. The microdata can change between publications via additions …

PRIVIC: A privacy-preserving method for incremental collection of location data

S Biswas, C Palamidessi - arxiv preprint arxiv:2206.10525, 2022 - arxiv.org
With recent advancements in technology, the threats of privacy violations of individuals'
sensitive data are surging. Location data, in particular, have been shown to carry a …