The dramatic increase in the number of malware poses a serious challenge to the Android
platform and makes it difficult for malware analysis. In this paper, we propose a novel …

The vast body of machine learning based Android malware detection research, reporting
high-performance metrics using a wide variety of proposed solutions, enables the logical …

Software obfuscation techniques are increasingly being used to prevent attackers from
exploiting security flaws and launching successful attacks. With research on software …

Mobile devices are pervading everyday activities of our life. Each day we store a plethora of
sensitive and private information in smart devices such as smartphones or tablets, which are …

The unmatched threat of Android malware has tremendously increased the need for
analyzing prominent malware samples. There are remarkable efforts in static and dynamic …

The large body of Android malware research has demonstrated that machine learning
methods can provide high performance for detecting Android malware. However, the vast …

Malware detection is still a very challenging topic in the cybersecurity field. This is mainly
due to the use of obfuscation techniques. To solve this issue, researchers proposed to …

Since the development of information systems during the last decade, cybersecurity has
become a critical concern for many groups, organizations, and institutions. Malware …

With more popularity and advancement in Internet-based services, the use of the Android
smartphone has been increasing very rapidly. The tremendous popularity of using the …

The growing Android malware is seriously threatening the privacy and property security of
Android users. However, the existing detection methods are often unable to maintain …