Differential privacy data desensitization method based on time sequence random mapping and related device

The invention discloses a differential privacy data desensitization method based on time sequence random mapping and a related device, and the method comprises the steps: obtaining various types of target time sequence data needing desensitization of a power transaction center, and carrying out the clustering of the target time sequence data through employing a k-medoids clustering algorithm based on dynamic time bending distance measurement, and obtaining time sequence data sets of different clusters; based on the maximum compression ratio of the target time sequence data, window values corresponding to different target time sequence data in the same cluster are calculated, the compression ratio average value of all the target time sequence data is determined, and the compression ratio average value serves as the target window size set during desensitization; and determining a privacy budget required by differential privacy based on a predetermined security protection demand level of the target time sequence