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 Internet-of-Things (IoT) has quickly evolved to a new appified era where third-party
developers can write apps for IoT platforms using programming frameworks. Like other …

Third-party libraries on Android have been shown to be security and privacy hazards by
adding security vulnerabilities to their host apps or by misusing inherited access rights …

Computing is transitioning from single-user devices to the Internet of Things (IoT), in which
multiple users with complex social relationships interact with a single device. Currently …

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 …

Security threats are escalating exponentially posing a serious challenge to mobile platforms,
specifically Android. In recent years the number of attacks has not only increased but each …

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

Internet of Things (IoT) platforms often require users to grant permissions to third-party apps,
such as the ability to control a lock. Unfortunately, because few users act based upon, or …

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' …

The proliferation of Internet of Things (IoT) devices for consumer" smart" homes raises
concerns about user privacy. We present a survey method based on the Contextual Integrity …