Sensitive inferences and user re-identification are major threats to privacy when raw sensor
data from wearable or portable devices are shared with cloud-assisted applications. To …

With the widespread development of the quantified-self movement, an increasing number of
users rely on mobile applications to monitor their physical activity through their smartphones …

As mobile devices and location-based services are increasingly developed in different smart
city scenarios and applications, many unexpected privacy leakages have arisen due to …

Some credible third parties collect and share mobile sensor data with users to enhance
scientific innovation. However, since the sensor data contains sensitive attributes, it may …

With the development of the Internet of Things (IoT), smartphones and sensors are now able
to provide information about the user's activity and even their physiology. This has led to a …

With the development of the Internet of Things (IoT), smartphones and sensors are now able
to provide information about the user's activity and even their physiology. This has led to a …

Behavioral patterns observed in data generated by mobile and wearable devices are used
by many applications, such as wellness monitoring or service personalization. However …

Mobile sensors provide a new opportunity to measure and intervene in child development.
The present study seeks to determine the conditions for parental participation in mobile …

The internet revolution has made information acquisition easy and cheap so that it has been
producing massive Web/social data in our real life. The emergence of big social media has …