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.

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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
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article

Analysis of Malware Detection Methods Using Large Language Models and eBPF Technology

M. S. Ivanov, E. Yu. Pavlenko
Automatic Control and Computer Sciences
Advanced Malware Detection Techniques
article

Analysis of Malware Detection Methods Using Large Language Models and eBPF Technology

M. S. Ivanov, E. Yu. Pavlenko
article en

Abstract

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.

Automatic Control and Computer SciencesVol. 59(8)
Peter the Great St. Petersburg Polytechnic University (RU)
Openalex Percentile: Top 27%
Advanced Malware Detection Techniques
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