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 …

Intrusion detection systems are important for detecting and reacting to the presence of
unauthorised users of a network or system. They observe the actions of the system and its …

Recently, the threat of Android malware is spreading rapidly, especially those repackaged
Android malware. Although understanding Android malware using dynamic analysis can …

In this paper, we present a systematic study for the detection of malicious applications (or
apps) on popular Android Markets. To this end, we first propose a permissionbased …

With the recent emergence of mobile platforms capable of executing increasingly complex
software and the rising ubiquity of using mobile platforms in sensitive applications such as …

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 …

As accurate malware detection on mobile devices requires fast process of a large number of
application traces, cloud-based malware detection can utilize the data sharing and powerful …

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 …

Android devices are very popular because of their availability at reasonable prices.
However, there is a rapid rise of malware applications in Android platform in the recent past …

The widespread adoption and contextually sensitive nature of smartphone devices has
increased concerns over smartphone malware. Machine learning classifiers are a current …