This paper establishes a new feature representation fusion method to enhance the malware classification results.

Duration: 11:12
Posted: Aug 7, 2023

This paper establishes a new feature representation fusion method to enhance the malware classification results.

Oct 29, 2024 · A multi-perspective API call sequence behavior fusion method called MINES is proposed for malware classification.

We propose a feature fusion-based malicious code detection with dual attention mechanism and Bi-directional Long Short-Term Memory (BiLSTM).

Jan 17, 2024 · We propose a transformer-based detection model to effectively identify malware API sequence features, as shown in Figure 1. The framework aims ...

Nov 11, 2022 · The enhanced F1-score demonstrates our model's ability to accurately classify malware without compromising either the recall or precision, which ...

We propose Mal-ASSF, a novel malware detection model that fuses the semantic and sequence features of the API calls.

Apr 29, 2024 · In this chapter, readers will explore how machine learning has been applied to build malware detection systems designed for the Windows operating system.

This research analyzes the API calls and sequences carried out by malware in the Windows operating system.