Network-Intrusion-Detection

Network Intrusion Detection System (NIDS) is a machine-learning-based system for detecting malicious network traffic in real time. The system uses the CIC-IDS2017 dataset to train supervised learning models and combines packet capture, flow generation, feature extraction, ML-based classification, alerting, and automated IP blocking into a single pi

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Python Language

30 SrcLog Score

Cost to Build

$27.6K

Market Value

$11.2K

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Growth over time

1 data points · 2026-10-25 → 2026-10-25

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What is the aishwarya976/Network-Intrusion-Detection GitHub project? Description: "Network Intrusion Detection System (NIDS) is a machine-learning-based system for detecting malicious network traffic in real time. The system uses the CIC-IDS2017 dataset to train supervised learning models and combines packet capture, flow generation, feature extraction, ML-based classification, alerting, and automated IP blocking into a single pi". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.