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Adaptive blurring of sensor data to balance privacy and utility for ubiquitous services
Proceedings of the 30th Annual ACM Symposium on Applied Computing - SAC '15
Given the trend towards mobile computing, the next generation of ubiquitous "smart" services will have to continuously analyze surrounding sensor data. More than ever, such services will rely on data potentially related to personal activities to perform their tasks, e.g. to predict urban traffic or local weather conditions. However, revealing personal data inevitably entails privacy risks, especially when data is shared with high precision and frequency. For example, by analyzing the precisedoi:10.1145/2695664.2695855 dblp:conf/sac/Moawad0FKT15 fatcat:ln54qlttpvbn5kdinas7zjxprq