We propose a perturbation method for categorical data that can be used by organizations to prevent or limit disclosure of confidential data for identifiable ...
To respond to growing concerns about privacy of personal information, organizations that use their cus tomers' records in data-mining activities are forced ...
We propose a perturbation method for categorical data that can be used by organizations to prevent or limit disclosure of confidential data.
We propose a perturbation method for categorical data that can be used by organizations to prevent or limit disclosure of confidential data for identifiable ...
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We propose a perturbation method for categorical data that can be used by organizations to prevent or limit disclosure of confidential data for identifiable ...
This paper proposes two data perturbation approaches namely NOS2R and NOS2R2. The proposed perturbation techniques are experimented with over ten benchmark UCI ...
The perturbation technique has been widely considered for privacy preserving in data mining for different datasets. Generally, Multi-partitioned datasets ...
Data perturbation is a popular technique for privacy preserving data mining. The major challenge of data perturbation is balancing privacy protection and data ...
Privacy-preserving data mining (PPDM) refers to techniques used to enhance privacy while extracting valuable information from data mining processes.
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Apr 3, 2024 · In this thesis, a personalized local differential privacy protection method based on feature weights is proposed.