With the fast growth in mobile technologies and the accompanied rise of the integration of
such technologies into our everyday life, mobile security is viewed as one of the most …

Mobile security threats have recently emerged because of the fast growth in mobile
technologies and the essential role that mobile devices play in our daily lives. For that, and …

The explosive growth of malware variants poses a major threat to information security.
Traditional anti-virus systems based on signatures fail to classify unknown malware into their …

Malware currently presents a number of serious threats to computer users. Signature-based
malware detection methods are limited in detecting new malware samples that are …

Application Programming Interfaces (APIs) are still considered the standard accessible data
source and core wok of the most widely adopted malware detection and classification …

Malware detection plays a crucial role in computer security. Recent researches mainly use
machine learning based methods heavily relying on domain knowledge for manually …

This research study mainly focused on the dynamic malware detection. Malware
progressively changes, leading to the use of dynamic malware detection techniques in this …

To handle the security threat faced by the widespread use of Internet of Things (IoT) devices
due to the ever-lasting increase of malware, the security researchers increasingly rely on …

Traditional signature-based detection methods fail to detect unknown malwares, while data
mining methods for detection are proved useful to new malwares but suffer for high false …

This paper proposes several novel methods, based on machine learning, to detect malware
in executable files without any need for preprocessing, such as unpacking or disassembling …