Intrusion Detection System using Machine Learning CICIDS Dataset 2023

Intrusion Detection System (IDS)

An Intelligent Network Intrusion Detection System Based on Multi-Modal Support Vector Machines presents a statistical machine learning approach for network intrusion detection using Support Vector Machines (SVM). The network traffic is modeled into connections based on protocols at various layers and fed as input to the SVM model. The model is trained to plot normal and attack traffic into separate regions to identify anomalies.

Intrusion Detection System in Cyber Security

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

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