In the recent past, deep learning methods have demonstrated remarkable success for
supervised learning tasks in multiple domains including computer vision, natural language …

Pervasive healthcare systems, smart grids, and unmanned aircraft systems are examples of
Cyber-Physical Systems (CPSs) that have become highly integrated in the modern world. As …

We introduce hand movement, orientation, and grasp (HMOG), a set of behavioral features
to continuously authenticate smartphone users. HMOG features unobtrusively capture subtle …

Imagine a user typing on a laptop keyboard while wearing a smart watch. This paper asks
whether motion sensors from the watch can leak information about what the user is typing …

Dependence on computers to store and process sensitive information has made it
necessary to secure them from intruders. A behavioral biometric such as keystroke dynamics …

Research on keystroke dynamics biometrics has been increasing, especially in the last
decade. The main motivation behind this effort is due to the fact that keystroke dynamics …

Cluster analysis is a big, sprawling field. This review paper cannot hope to fully survey the
territory. Instead, it focuses on hierarchical agglomerative clustering, k‐means clustering …

As mobile begins to overtake the fixed Internet access, ad networks have aggressively
sought methods to track users on their mobile devices. While existing countermeasures and …

Methods, systems, and media for detecting covert malware are provided. In accordance with
some embodiments, a method for detecting covert malware in a computing environ ment is …

Smartphone users have their own unique behavioral patterns when tapping on the touch
screens. These personal patterns are reflected on the different rhythm, strength, and angle …