Analysis of Malware Detection Methods Using Large Language Models and eBPF Technology
A review of malware detection software tools using Large Language Models (LLMs) and Extended Berkeley Packet Filter (eBPF) technology is provided. For each product considered, a brief description is provided, and its advantages and disadvantages are highlighted. The results of a comparative analysis of the considered tools are presented, allowing us to identify areas of research in the area under consideration that most require attention.
Authors
- M. S. Ivanov
- E. Yu. Pavlenko
Institutions
- Peter the Great St. Petersburg Polytechnic University (RU)
Publication Details
- Journal
- Automatic Control and Computer Sciences
- Published
- 2025-12-01
- DOI
- https://doi.org/10.3103/s0146411625700828
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00