Repackaging is a serious threat to the Android ecosystem as it deprives app developers of
their benefits, contributes to spreading malware on users' devices, and increases the …

Initial penetration is one of the first steps of an Advanced Persistent Threat (APT) attack, and
it is considered one of the most significant means of initiating cyber-attacks aimed at …

Labeling a malicious executable as a variant of a known family is important for security
applications such as triage, lineage, and for building reference datasets in turn used for …

For the past two decades, the security community has been fighting malicious programs for
Windows-based operating systems. However, the recent surge in adoption of embedded …

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 …

Malicious software–so called malware–poses a major threat to the security of computer
systems. The amount and diversity of its variants render classic security defenses ineffective …

Machine learning techniques are widely used in addition to signatures and heuristics to
increase the detection rate of anti-malware software, as they automate the creation of …

Malware can be defined as any type of malicious code that has the potential to harm a
computer or network. The volume of malware is growing faster every year and poses a …

This paper introduces AMAL, an automated and behavior-based malware analysis and
labeling system that addresses shortcomings of the existing systems. AMAL consists of two …

Malware have been one of the biggest cyber threats in the digital world for a long time.
Existing machine learning based malware classification methods rely on handcrafted …