A Natural Language Processing Approach to Malware Classification

no code implementations • 7 Jul 2023 • Ritik Mehta, Olha Jurečková, Mark Stamp

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

Classification Feature Engineering +1

Steganographic Capacity of Deep Learning Models

no code implementations • 25 Jun 2023 • Lei Zhang, Dong Li, Olha Jurečková, Mark Stamp

We find that the steganographic capacity of the learning models tested is surprisingly high, and that in each case, there is a clear threshold after which model performance rapidly degrades.

Malware Classification

Classification and Online Clustering of Zero-Day Malware

no code implementations • 1 May 2023 • Olha Jurečková, Martin Jureček, Mark Stamp, Fabio Di Troia, Róbert Lórencz

Based on the classification score of the multilayer perceptron, we determined which samples would be classified and which would be clustered into new malware families.

Classification Clustering +1

Parallel Instance Filtering for Malware Detection

no code implementations • 28 Jun 2022 • Martin Jureček, Olha Jurečková

The main idea of the algorithm is to split the data set into non-overlapping subsets of instances covering the whole data set and apply a filtering process for each subset.

Malware Detection