Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …

As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

As the demand for Internet of Things (IoT) technologies continues to grow, IoT devices have
been viable targets for malware infections. Although deep learning-based malware …

Malicious applications (particularly those targeting the Android platform) pose a serious
threat to developers and end-users. Numerous research efforts have been devoted to …

Android-based mobile devices have attracted a large number of users because they are
easy to use and possess a wide range of capabilities. Because of its popularity, Android has …

The Internet of Things (IoT) mainly consists of a large number of Internet-connected devices.
The proliferation of untrusted third-party IoT applications has led to an increase in IoT-based …

Malicious software (“malware”) has become one of the serious cybersecurity issues in
Android ecosystem. Given the fast evolution of Android malware releases, it is practically not …

In this survey, we review the key developments in the field of malware detection using AI and
analyze core challenges. We systematically survey state-of-the-art methods across five …

Android and Windows are the predominant operating systems used in mobile environment
and personal computers and it is expected that their use will rise during the next decade …

Recent advances in artificial intelligence and the increasing need for robust defensive
measures in network security have led to the adoption of deep learning approaches for …