Currently, healthcare is critical environment in our society, which attracts attention to
malicious activities and has caused an important number of damaging attacks. In parallel …

Malware poses a severe threat to cyber security. Attackers use malware to achieve their
malicious purposes, such as unauthorized access, stealing confidential data, blackmailing …

Machine Learning (ML) represents a pivotal technology for current and future information
systems, and many domains already leverage the capabilities of ML. However, deployment …

We describe and release an open PE malware dataset called BODMAS to facilitate research
efforts in machine learning based malware analysis. By closely examining existing open PE …

Recently, the frequency and complexity of ransomware attacks have been increasing
steadily, posing significant threats to individuals and organizations alike. While traditional …

Ransomware, the malicious software that encrypts user files to demand a ransom payment,
is one of the most common and persistent threats. Cyber-criminals create new ransomware …

Deep learning (DL) has proven to be effective in detecting sophisticated malware that is
constantly evolving. Even though deep learning has alleviated the feature engineering …

Ransomware attacks have captured news headlines worldwide for the last few years due to
their criticality and intensity. Ransomware-as-a-service (RaaS) kits are aiding adversaries to …

In recent years, the increase in non-Windows malware threats had turned the focus of the
cybersecurity community. Research works on hunting Windows PE-based malwares are …

In this survey, we review the key developments in the field of malware detection using AI and
analyze core challenges. We systematically survey state-of-the-art methods across five …