Malware classification is an important and challenging problem in information security.
Modern malware classification techniques rely on machine learning models that can be …

Malware classification is an important and challenging problem in information security.
Modern malware classification techniques rely on machine learning models that can be …

Many different machine learning and deep learning techniques have been successfully
employed for malware detection and classification. Examples of popular learning techniques …

Malware classification is the process of classifying malware into recognizable categories
and is an integral part of implementing computer security. In recent times, machine learning …

The short note presents an image classification dataset consisting of 10 executable code
varieties and approximately 50,000 virus examples. The malicious classes include 9 families …

Malware classification using machine learning algorithms is a difficult task, in part due to the
absence of strong natural features in raw executable binary files. Byte n-grams previously …

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

Word embeddings are often used in natural language processing as a means to quantify
relationships between words. More generally, these same word embedding techniques can …

Recent years have witnessed the very rapid increase in both the volume and sophistication
of malware programs. Malware authors invest heavily in technologies and capabilities to …

Malware classification is a difficult problem, to which machine learning methods have been
applied for decades. Yet progress has often been slow, in part due to a number of unique …