The newly emerged machine learning (eg, deep learning) methods have become a strong
driving force to revolutionize a wide range of industries, such as smart healthcare, financial …

The development of smart cities through digital communications has improved citizens'
quality of life and well-being. In these cities, IoT technology generates vast amounts of data …

Smartphones enjoy high adoption rates around the globe. Rarely more than an arm's length
away, these sensor-rich devices can easily be repurposed to collect rich and extensive …

Smart cities are expected to improve the quality of daily life, promote sustainable
development, and improve the functionality of urban systems. Now that many smart systems …

Notifying users about a system's data practices is supposed to enable users to make
informed privacy decisions. Yet, current notice and choice mechanisms, such as privacy …

Modern smartphone platforms implement permission-based models to protect access to
sensitive data and system resources. However, apps can circumvent the permission model …

We present a scalable dynamic analysis frame-work that allows for the automatic evaluation
of the privacy behaviors of Android apps. We use our system to analyze mobile apps' …

While many studies have looked at privacy properties of the Android and Google Play app
ecosystem, comparatively much less is known about iOS and the Apple App Store, the most …

Internet of Things (IoT) devices create new ways through which personal data is collected
and processed by service providers. Frequently, end users have little awareness of, and …

Companies face a trade-off between creating stronger privacy protection policies for
consumers and employing more sophisticated data collection methods. Justice-driven …