Location-based services (LBSs) provide enhanced functionality and convenience of
ubiquitous computing, but they open up new vulnerabilities that can be utilized to violate the …

Over the past decade, wearable activity trackers (WATs) have become increasingly popular.
However, despite many research studies in different fields (eg psychology, health, and …

In this article, we focus on femtech, a category of software, diagnostics, and products that
serve female health needs. While acknowledging the unprecedented growth and potential of …

Novel attacks on dataset privacy are usually met with the same range of responses: surprise
that a route to information gain exists from information previously thought to be safe; …

Crowdsourcing enables application developers to benefit from large and diverse datasets at
a low cost. Specifically, mobile crowdsourcing (MCS) leverages users' devices as sensors to …

Fitness tracking social networks such as Strava allow users to record sports activities and
share them publicly. Sharing encourages peer interaction but also constitutes a risk …

The novel IoT-based data sensing and service mode promotes the booming development of
crowdsensing-based mobile communication services (MCSs). MCS facilitates people's daily …

Mobile communication services raise user privacy concerns in sharing the traveling
trajectories while facilitating people's daily lives. According to these shared trajectories …

Wearable devices, such as wearable activity trackers (WATs), are increasing in popularity.
Although they can help to improve one's quality of life, they also raise serious privacy issues …

A fast expanding topic of study on automated AI is focused on the prediction and prevention
of cyber-attacks using machine learning algorithms. In this study, we examined the research …