Year: 2025
Type: preprint
Abstract: The comparison analysis of the most popular tools to extract features from network traffic is conducted in this paper. Feature extraction plays a crucial role in Intrusion Detection Systems (IDS) because it helps to transform huge raw network data into meaningful and manageable features for analysis and detection of malicious activities. The good choice of feature extraction tool is an essential step in construction of Artificial Intelligence-based Intrusion Detection Systems (AI-IDS), which can help to enhance the efficiency, accuracy, and scalability of such systems.
Source: arXiv (Cornell University)
Authors: Lypa, Borys, Horyn, Ivan, Zagorodna, Natalia, Tymoshchuk, Dmytro, Lechachenko, Taras
Institution: Ternopil Ivan Pului National Technical University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4406780040