Trade-off between data use and anonymity according to K value of K-anonymity for personal trajectory de-identification

초록

With the proliferation of smart devices, personal location information Big data can be collected and used extensively, but a collection is limited due to privacy. It is essential to utilize the database through the de-identification process, but if the safety is high, the utilization of the data will be seriously limited. In this study, we show the K-anonymity model and demonstrate it quantitatively by applying the K-anonymity model to the path database to show the trade-off between the use of data and anonymity and to demonstrate the importance of appropriate K values.