cstub/ml-ids
A machine learning based Intrusion Detection System
This project helps network security professionals identify malicious activity by analyzing network traffic. It takes raw network capture files (like pcap) or CSVs of network flow features and outputs a classification of each flow as either benign or malicious. This is designed for network administrators, security analysts, and IT managers concerned with detecting novel and emerging cyber threats.
165 stars. No commits in the last 6 months.
Use this if you need to detect new and evolving network attack types that traditional signature-based intrusion detection systems might miss.
Not ideal if your primary concern is preventing known attacks through a firewall or if you only need to identify pre-defined, signature-based threats.
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Last pushed
Dec 11, 2019
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