Nowadays, mobile devices are an important part of our everyday lives since they enable us
to access a large variety of ubiquitous services. In recent years, the availability of these …

By offering sophisticated services and centralizing a huge volume of personal data, modern
smartphones changed the way we socialize, entertain and work. To this aim, they rely upon …

This article presents Andromaly—a framework for detecting malware on Android mobile
devices. The proposed framework realizes a Host-based Malware Detection System that …

Abstract Long Short-term Memory (LSTM) is a sub set of recurrent neural network (RNN)
which is specifically used to train to learn long-term temporal dynamics with sequences of …

In this paper we apply Machine Learning (ML) techniques on static features that are
extracted from Android's application files for the classification of the files. Features are …

Abstract Information overload has been studied extensively by decision science
researchers, particularly in the context of task-based optimization decisions. Media selection …

Mobile phones are rapidly becoming small-size general purpose computers, so-called
smartphones. However, applications and data stored on mobile phones are less protected …

The explosive global adoption of mobile applications (ie, apps) has been fraught with
security and privacy issues. App users typically have a poor understanding of information …

Long short-term memory recurrent neural network (LSTM-RNN) have witnessed as a
powerful approach for capturing long-range temporal dependencies in sequences of …

Smartphone information security awareness describes the knowledge, attitude and
behaviour that employees apply to the security of the organisational information that they …