Fast text anonymization using k-anonyminity
Wakana Maeda, Yu Suzuki, Satoshi Nakamura · 2016
In this paper, we propose a method for anonymizing unstructured texts using a quasi-identifier list. In our method, the system redacts from some parts of quasi-identifiers in the texts to the alternate characters such as "*", in order to prevent re-identification of information which should be kept in secrecy. However, this method has a room for an improvement for keeping the information on the original text as is. If the system anonymizes the texts and keeps the original texts as much as possible, the accuracy of the outputs by data mining techniques for the anonymized texts should be useful. Our method anonymizes quasi-identifiers to remain substrings which do not contribute to re-identification, in order to keep the information on the original texts as is.