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Network Intrusion Detection System

Intrusion detection system is able to classify a malicious packet into intrusion attack classes based upon the ML Model Prediction. Network sniffer is used to analyze real time network traffic at an interface and parse into NSL-KDD99 attributes. network intrusion detector model predict the legitimacy of the packets with an accuracy of ~94%.


How To Run the Code

  • Ensure necessary packages stated requirement.txt are installed.
  • Create Model by running model_generation .
  • Run start.sh file in Linux terminal.

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Network Intrusion System Uses ML model and a Network Sniffer script to parse real time traffic into ML attributes to predict the legitimacy of the Packets.

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