Comparison of Feature Extraction Tools for Network Traffic
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🔍 Comparison of Feature Extraction Tools for Network Traffic Data Highlights Key Insights for AI-based Intrusion Detection Systems. This research analyzes popular feature extraction tools essential for transforming raw network traffic into actionable data for Intrusion Detection Systems (IDS). Key tools compared include CICFlowmeter, Wireshark, Argus, Snort, and Zeek, each with distinct strengths and weaknesses. The study emphasizes the importance of high-quality feature extraction for enhancing the efficiency and accuracy of AI-based IDS, while also noting the limitations of traditional signature-based systems like Snort. Zeek emerged as a superior choice due to its versatility and deep protocol analysis capabilities. The paper calls for further research to explore additional tools and techniques in feature extraction for a comprehensive understanding of network security.
