Abstract: We propose and analyze algorithms to achieve k- anonymity for streaming location data. We consider a framework motivated by European Union privacy ...
Abstract—We propose and analyze algorithms to achieve k- anonymity for streaming location data. We consider a framework motivated by European Union privacy ...
This work considers a framework motivated by European Union privacy requirements, in which location information arrives online into a buffer of fixed size m ...
In this paper, we study a novel anonymization property called -anonymity that we explicitly design to deal with data streams.
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What is the algorithm for K anonymity?
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How does k anonymity help to protect privacy in micro data sets?
The K anonymity technique works by grouping similar individuals together and generalizing, or suppressing, data fields that contain identifying information.
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Abstract. In this work we present an algorithm for k-anonymization of datasets that are changing over time. It is intended for preventing.
To address the privacy issue, we propose a Dummy-. Location Selection (DLS) algorithm to achieve k-anonymity for ... Frejinger, “Route choice analysis: data, ...
This topic demonstrates how to compute k-anonymity values for a dataset using Sensitive Data Protection. For more information about k-anonymity or risk analysis ...
This work's main motivation is to develop a k-anonymization method for data streams which additionally protects the sensitivity and enables effective ...
Apr 1, 2022 · Abstract. K-Anonymity is a property for the measurement, management, and gover- nance of the data anonymization. Many implementations of k- ...