Malware has been one of the most damaging threats to computers that span across multiple
operating systems and various file formats. To defend against ever-increasing and ever …

Zero-day malware is malware that has never been seen before or is so new that no anti-
malware software can catch it. This novelty and the lack of existing mitigation strategies …

The function call graph (FCG) based Android malware detection methods have recently
attracted increasing attention due to their promising performance. However, these methods …

Malware detection techniques achieve great success with deeper insight into the semantics
of malware. Among existing detection techniques, function call graph (FCG) based methods …

The continuous proliferation of malware poses a formidable threat to the cyberspace
landscape. Researchers have proffered a multitude of sophisticated defense mechanisms …

Stealthy hardware Trojans (HTs) inserted during the fabrication of integrated circuits can
bypass the security of critical infrastructures. Although researchers have proposed many …

Reliable methods for host-layer intrusion detection remained an open problem within
computer security. Recent research has recast intrusion detection as a provenance graph …

Transformer-based models have demonstrated state-of-the-art performance in many
intelligent coding tasks such as code comment generation and code completion. Previous …

The rich semantic information in Control Flow Graphs (CFGs) of executable programs has
made Graph Neural Networks (GNNs) a key focus for malware detection. However, existing …

Abstract Machine learning-based methods have been widely used in malware detection.
However, recent studies show that models based on machine learning (or deep learning) …