Ransomware is an ill-famed malware that has received recognition because of its lethal and
irrevocable effects on its victims. The irreparable loss caused due to ransomware requires …

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 …

Over the last decade, researchers have extensively explored the vulnerabilities of Android
malware detectors to adversarial examples through the development of evasion attacks; …

While machine-learning algorithms have demonstrated a strong ability in detecting Android
malware, they can be evaded by sparse evasion attacks crafted by injecting a small set of …

The deep learning methods had been proved to be effective for malware detection in the
past. However, the recent studies show that deep learning models are vulnerable to …

In recent years, Android malware has continued to evolve against detection technologies,
becoming more concealed and harmful, making it difficult for existing models to resist …

DNS reputation systems are a critical layer of network defense that use ML to identify
potentially malicious domains based on DNS-related behaviors. Despite their importance in …

Android malware is a continuously expanding threat to billions of mobile users around the
globe. Detection systems are updated constantly to address these threats. However, a …

Android OS is one of the most popular operating systems worldwide, making it a desirable
target for malware attacks. Some of the latest and most important defensive systems are …

Adversarial malware have been widely explored, most often on static analysis based
detection and feature space manipulations. With the prevalence of encryption, obfuscation …