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Information Sciences 179 (2009) 2948 2963 Contents lists available at ScienceDirect Information Sciences journal homepage: www.elsevier.com/locate/ins k-Anonymous data collection Sheng Thong a, *?,
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What is k-anonymous data collection?
K-anonymous data collection is a technique used in data privacy to protect the identity of individuals in a dataset. It involves modifying or removing identifiers from the data in order to ensure that no individual can be uniquely identified.
Who is required to file k-anonymous data collection?
The requirement to file k-anonymous data collection can vary depending on the specific regulations or policies in place. Generally, organizations or individuals who handle sensitive or personally identifiable information may be required to implement k-anonymization techniques to protect the privacy of individuals in their data.
How to fill out k-anonymous data collection?
Filling out k-anonymous data collection involves following the specific guidelines or requirements set by the governing body or organization. This may include identifying the sensitive information that needs to be protected, determining the appropriate anonymization techniques to apply, and implementing those techniques to modify or remove identifiers from the data.
What is the purpose of k-anonymous data collection?
The purpose of k-anonymous data collection is to balance the need for data analysis and research with the protection of individual privacy. By anonymizing data, it allows organizations to use and share the data while minimizing the risk of re-identification and unauthorized access to sensitive information.
What information must be reported on k-anonymous data collection?
The specific information that needs to be reported on k-anonymous data collection can vary depending on the requirements set by the governing body or organization. Generally, it includes aggregated or modified data that does not directly identify individuals but still provides useful insights for analysis or research purposes.
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