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

Recognition of known malicious patterns through signature-based systems is unsuccessful
against malware for which no known signature exists to identify them. These include not only …

This paper delves into the dynamic landscape of computer security, where malware poses a
paramount threat. Our focus is a riveting exploration of the recent and promising hardware …

In the realm of cybersecurity, the detection and analysis of obfuscated malware remain a
critical challenge, especially in the context of memory dumps. This research paper presents …

In an era where the relentless evolution of cyber threats necessitates the perpetual
advancement of security measures, the detection of obfuscated malware has emerged as a …

This paper presents an approach to malware detection using Graph Neural Networks (GNN)
to capture the complex relationships and dependencies between different components of an …

In recent years, the spread of malware has increased exponentially, posing a significant
challenge for cybersecurity experts. When facing with the constantly evolving world of …

86 of any computer program can be represented as a set of records of its actions in a
behavior report, which can be considered as signs of an object. The paper analyzes reports …