Oct 29, 2024 · This paper proposes MINES, a Multi-perspective apI call sequeNce bEhavior fuSion malware classification Method.

Oct 27, 2024 · This paper proposes the Multi-perspective apI call sequeNce bEhavior fuSion malware classification Method, called MINES.

Oct 31, 2024 · Based on API call sequences, semantic-aware and machine learning (ML) based malware classifiers can be built for malware detection or ...

MINES: Multi-perspective API Call Sequence Behavior Fusion Malware Classification ... API call sequence behavior analysis and fusion for malware classification.

We developed a behavioral heuristic that effectively identified malicious API call sequences that were deceptive or mimicry.

MINES: Multi-perspective API Call Sequence Behavior Fusion Malware Classification. In: DASFAA International Conference on Database Systems for Advanced ...

These behavioral models relied on the fusion of statistical, contextual, and graph mining features that capture explicit and implicit relationships between API ...

These behavioral models relied on the fusion of statistical, contextual, and graph mining features that capture explicit and implicit relationships between API ...

Jun 27, 2024 · We collected a publicly available dataset of APT malware to evaluate our method. The attribution classification results of the model based on a single feature ...

Feb 4, 2023 · One of the most used data mining (DM) methods is classification. In this research, we describe a classification technique for DM for malware ...