Beyond Learning Algorithms: <b>The Crucial Role of Data in Robust Malware Detection</b>
In the battle against evolving cyber threats, robust malware detection with machine learning demands high-quality data. This article emphasizes data quality’s role and how coresets—constructed from key samples that preserve dataset properties—can enhance malware classifiers’ resilience.
Authors
- Veelasha Moonsamy (ORCID: https://orcid.org/0000-0001-6296-2182)
- Hamid Bostani (ORCID: https://orcid.org/0000-0002-2097-5521)
Institutions
- Radboud University Nijmegen (NL)
- Ruhr University Bochum (DE)
Publication Details
- Journal
- IEEE Security & Privacy
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1109/msec.2025.3550686
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft