Many studies have proposed machine-learning (ML) models for malware detection and
classification, reporting an almost-perfect performance. However, they assemble ground …

Despite continuous advancements in defense mechanisms, attackers often find ways to
circumvent security measures. Windows operating systems, in particular, are vulnerable due …

Since Android is the most widespread operating system, malware targeting it poses a severe
threat to the security and privacy of millions of users and is increasing from year to year. The …

Malware analysis is the process of identifying whether certain software is malicious and
determining its capabilities. Unfortunately, malware authors have developed increasingly …

Binary code analysis is the foundation of crucial tasks in the security domain; thus building
effective binary analysis techniques is more important than ever. Large language models …

Deep learning-based malware classifiers face significant challenges due to concept drift.
The rapid evolution of malware, especially with new families, can depress classification …

Malware analysis tasks are as fundamental for modern cybersecurity as they are
challenging to perform. More than depending on any tool capability, malware analysis tasks …

The widespread usage of Microsoft Windows has unfortunately led to a surge in malware,
posing a serious threat to the security and privacy of millions of users. In response, the …

A strategy used by malicious actors is to" live off the land," where benign systems and tools
already available on a victim's systems are used and repurposed for the malicious actor's …

Decompilation aims to recover the source code form of a binary executable. It has many
security applications such as malware analysis, vulnerability detection and code hardening …