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.

翻译：本文对最流行的网络流量特征提取工具进行了比较分析。特征提取在入侵检测系统（IDS）中起着至关重要的作用，因为它有助于将海量原始网络数据转化为有意义的、可管理的特征，以便分析和检测恶意活动。在构建基于人工智能的入侵检测系统（AI-IDS）时，选择合适的特征提取工具是关键步骤，这有助于提升此类系统的效率、准确性和可扩展性。