Oct 29, 2021 · In this work, we conduct a thorough empirical study on learning-based PE malware classification approaches on 4 different datasets and consistent experiment ...

Aug 18, 2021 · In this work, we conduct a thorough empirical study on learning-based PE malware classification approaches on 4 different datasets and ...

Aug 23, 2021 · We create two new PE malware family classification datasets, one for the normal classification purpose and one for the concept drift purpose, ...

There is no individual class of methods that significantly outperforms the others in PE malware classification, and all classes of methods show performance ...

In this work, we conduct a thorough empirical study on learning-based PE malware classification approaches on 4 different datasets and consistent experiment ...

Sep 27, 2024 · In their study on learning-based portable executable malware family classification methods, Ma et al. [24] used 3,971 samples from MalwareBazaar ...

Feb 6, 2024 · A comprehensive study on learning-based PE malware family classification methods. In Proceedings of the 29th ACM Joint Meeting on European ...

Deep Learning is increasingly used in malware detection as DL-based systems outperform conventional malware detection approaches at finding new malware ...

This paper proposes a novel method of classifying malware into families using high-resolution greyscale images and multiple instance learning to overcome ...

In recent years, a variety of learning-based detection methods (or detectors) have been proposed to identify Android malware (i.e., mal- ware detection) or ...