semantic_scholarTehnički Vjesnik2026-08-15
An Overview of Convolutional Neural Network-Based Static Malware Analysis Techniques
Aleksa Komosar, Milan Gnjatović, Darko Stefanović, N. Maček, Dusan Savic, Teodora Vučković
TL;DR: An overview of convolutional neural network-based static malware analysis techniques acknowledges the recent trend of conceptualizing malware as a sequential structure with both local and long-term dependencies, the need to reconsider the notion of dataset balance, and the need for consistent and transparent application of the F1-score.
: This paper provides an overview of convolutional neural network-based static malware analysis techniques. Three research questions are considered: Which architectures based on or related to CNNs are used in static malware analysis? Which datasets are used to support research in…