Android applications are developing rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …

Cyber attacks are currently blooming, as the attackers reap significant profits from them and
face a limited risk when compared to committing the “classical” crimes. One of the major …

With the increasing use of mobile devices, malware attacks are rising, especially on Android
phones, which account for 72.2% of the total market share. Hackers try to attack …

Zero-day malware samples pose a considerable danger to users as implicitly there are no
documented defences for previously unseen, newly encountered behaviour. Malware …

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 …

High penetration of Android applications along with their malicious variants requires efficient
and effective malware detection methods to build mobile platform security. API call …

Android is undergoing unprecedented malicious threats daily, but the existing methods for
malware detection often fail to cope with evolving camouflage in malware. To address this …

Android malware poses a serious security threat to ordinary mobile users. However, the
obfuscation technology can generate malware variants, which can bypass existing detection …

Being able to detect malware variants is a critical problem due to the potential damages and
the fast paces of new malware variations. According to surveys from McAfee and Symantec …

Malware classification is a task that has acquired importance due to the increase in malware
distribution. In the literature, the application of machine learning techniques is proposed to …