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A Multi-level Clustering Approach for Anonymizing Large-Scale Physical Activity Data
[article]
2019
arXiv
pre-print
Publishing physical activity data can facilitate reproducible health-care research in several areas such as population health management, behavioral health research, and management of chronic health problems. However, publishing such data also brings high privacy risks related to re-identification which makes anonymization necessary. One of the challenges in anonymizing physical activity data collected periodically is its sequential nature. The existing anonymization techniques work
arXiv:1908.07976v1
fatcat:fwbqyoewlzbuhflenu2mz6le7e