Recent advances in Internet of Things (IoT) have enabled myriad domains such as smart
homes, personal monitoring devices, and enhanced manufacturing. IoT is now pervasive …

Broadly defined as the Internet of Things (IoT), the growth of commodity devices that
integrate physical processes with digital connectivity has had profound effects on society …

With the increase use of Android mobile phones, more Android malwares are being
developed. Android malware detection becomes a crucial task. In this paper, we present a …

Mobile devices such as smartphones and tablets are widely used for personal and business
purposes. A mobile device may carry sensitive data and becomes an easy target for cyber …

Users trust IoT apps to control and automate their smart devices. These apps necessarily
have access to sensitive data to implement their functionality. However, users lack visibility …

Software-based attacks exploit bugs or vulnerabilities to get unauthorized access or leak
confidential information. Dynamic information flow tracking (DIFT) is a security technique to …

An enhanced dynamic taint-tracking semantics is presented and implemented, facilitating
fast and precise runtime secret redaction from legacy processes, such as those compiled …

Along with the significant growth in the popularity of smartphones and the number of
available mobile applications, the amount of threats that harm users or compromise their …

By 2018, it is no secret to the global networking community: Internet of Things (IoT) devices,
usually controlled by IoT applications and applets, have dominated human lives. It has been …

Dynamic Information Flow Tracking (DIFT) is a technique that facilitates run-time data-flow
analysis on a running process, allowing a system to overcome the limitations of finding data …