A Design for Private Data Protection Combining with Data Perturbation and Data Reconstruction
Juting Wang, WaiKin Victor Chan · 2021 International Symposium on Electrical, Electronics and Information Engineering · 2021
With the rapid development of various hardware equipment and saving technology, multiple data with different types are uploaded to saving space. There are some private data can not be ignored. For provider, in order to use and deliver these private data to the third party, data anonymization, such as K-anonymity [1] should be applied to cover the explicit information. For receiver, there are still some way to transform these “fake” data to a new data set which obtain the same statistical properties with the original one while not exactly the same in detailed records.