Anomaly detection has been used for decades to identify and extract anomalous
components from data. Many techniques have been used to detect anomalies. One of the …

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 …

With the widespread use of smartphones, the number of malware has been increasing
exponentially. Among smart devices, android devices are the most targeted devices by …

The sharp increase in the number of smartphones on the market, with the Android platform
posed to becoming a market leader makes the need for malware analysis on this platform an …

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

Users have begun downloading an increasingly large number of mobile phone applications
in response to advancements in handsets and wireless networks. The increased number of …

Currently, Android malware detection is mostly performed on server side against the
increasing number of malware. Powerful computing resource provides more exhaustive …

Designing reliable user authentication on mobile phones is becoming an increasingly
important task to protect users' private information and data. Since biometric approaches can …

Currently, in the smartphone market, Android is the platform with the highest share. Due to
this popularity and also to its open source nature, Android-based smartphones are now an …

Methods, systems and devices for generating data models in a client-cloud communication
system may include applying machine learning techniques to generate a first family of …