In the Internet age, malware (such as viruses, trojans, ransomware, and bots) has posed
serious and evolving security threats to Internet users. To protect legitimate users from these …

One of the major and serious threats on the Internet today is malicious software, often
referred to as a malware. The malwares being designed by attackers are polymorphic and …

Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …

This paper describes EMBER: a labeled benchmark dataset for training machine learning
models to statically detect malicious Windows portable executable files. The dataset …

Abstract Machine learning has been used to detect new malware in recent years, while
malware authors have strong motivation to attack such algorithms. Malware authors usually …

In this paper, we propose a deep learning framework for malware classification. There has
been a huge increase in the volume of malware in recent years which poses a serious …

Ransomware is a special type of malware that can lock victims' screen and/or encrypt their
files to obtain ransoms, resulting in great damage to users. Mapping ransomware into …

Malware is a rapidly increasing menace to modern computing. Malware authors continually
incorporate various sophisticated features like code obfuscations to create malware variants …

We propose a simple yet effective method for visualizing and classifying malware using
image processing techniques. Malware binaries are visualized as gray-scale images, with …

Machine learning is a popular approach to signatureless malware detection because it can
generalize to never-before-seen malware families and polymorphic strains. This has …