Abstract:

Nowadays, wearable devices are widespread in our daily life. The rapid growth of users' number results in data redissemination by data holders. Nevertheless, improper redissemination methods can lead to unacceptable information loss or privacy leakage. In addition to privacy preserving concern, the data republishing methods for wearable devices should also be efficient enough due to the rapid increase of the number of wearable devices. In order to enhance the efficiency under the premise of information security of users and acceptable information loss, we propose a wearable data redissemination method based on clustering Kanonymity. The proposed method jointly considers data privacy, information loss and the overheads. Specifically, the proposed method processes the incremental data directly to enhance the efficiency and the clustering Kanonymity can limit information loss. The proposed method can reduce information loss when the amount of the data is huge. Experimental results demonstrate its effectiveness.

Key words: wearable device, K-anonymity clustering, re-dissemination, privacy preserving