The main objective of this review is to present an in-depth study of Android malware
detection approaches. This article provides a comprehensive survey of 150 studies on …

Malware is still a challenging security problem in the Android ecosystem, as malware is
often obfuscated to evade detection. In such case, semantic behavior feature extraction is …

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

The existing malware classification approaches (ie, binary and family classification) can
barely benefit subsequent analysis with their outputs. Even the family classification …

The wide‐ranging implementation of Android applications used in various devices, from
smartphones to intelligent television, has made it thought‐provoking for developers. The …

Mobile phones are currently the main targets of continuous malware attacks. Usually, new
malicious code is generated conveniently changing the existing one. According to this, it …

Our society is rapidly moving towards the digital age, which has led to a sharp increase in
IoT networks and devices. This growth requires more network security professionals, who …

Virtual personal assistants (VPAs), such as Amazon Alexa and Google Assistant, are
software agents designed to perform tasks or provide services to individuals in response to …

Authorship identification is the process of identifying and classifying authors through given
codes. Authorship identification can be used in a wide range of software domains, eg, code …

Mobile devices have become, in the last years, an essential tool used to perform daily
activities. However, they also have become the target of continuous malware attacks usually …