Jul 4, 2020 · To achieve privacy preservation constraints of these anonymization models, the attributes of datasets are firstly separated to be three groups ...

Privacy violation issues must be taken into consideration when datasets are released for public use. To address these issues, there are various ...

A new appropriate privacy preservation model for missing-value datasets is proposed and it is shown that it is an NP-Complete problem by reduction from the ...

Anonymized data is often used for analysis and knowledge extraction, therefore individual's privacy should not compromise the quality of the data provided. In ...

Bibliographic details on Achieving Privacy Preservation Constraints in Missing-Value Datasets.

Co-authors ; Achieving privacy preservation constraints in missing-value datasets. S Riyana, S Nanthachumphu, N Riyana. SN Computer Science 1, 1-10, 2020. 19 ...

Achieving privacy preservation constraints in missing-value datasets. S Riyana, S Nanthachumphu, N Riyana. SN Computer Science 1, 1-10, 2020. 19, 2020.

In this paper we propose a novel approach to consider missing values in privacy-preserving record linkage by adapting Bloom filter encoding based on the ...

Jul 20, 2021 · A new privacy preservation model for sequential data releasing to be proposed in this work, so called as ε-Error and l-Diversity.

Oct 22, 2024 · We present a privacy-preserving protocol for filling in missing values using a lazy decision-tree imputation algorithm for data that is ...