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Big Data K-Anonymizing by Parallel Semantic Micro-Aggregation
Big Data K-Anonymizing by Parallel Semantic Micro-Aggregation
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机译:大数据K并行语义微聚合匿名化
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摘要
Provided is a method for anonymizing datasets having sensitive information, including the steps of determining a dataset of records to be assigned to aggregation clusters; computing an average record of the dataset on the basis of a predefined repetition counter; finding a most distant first record to the average record using a distance measure; finding a most distant second record from the first record using the distance measure; forming a first aggregation cluster around the first record and a second aggregation cluster around the second record; and generating a new dataset by subtracting the first cluster and the second cluster from the previous dataset.
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