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network-analysis-and-ids-project

https://github.com/vinaygummadi/network-analysis-and-ids-project

Science Score: 31.0%

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    Low similarity (7.0%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: vinaygummadi
  • Language: Python
  • Default Branch: main
  • Size: 626 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

README.md

Network Intrusion Detection System (IDS)

Overview

This project implements a Network Intrusion Detection System (IDS) using various machine learning algorithms. It analyzes network traffic data and classifies it as normal or malicious. The system supports multiple classifiers and visualizes traffic patterns for better insights.

Features

  • Supports multiple machine learning models (Logistic Regression, Random Forest, SVM, etc.).
  • Handles data preprocessing, scaling, and dimensionality reduction using PCA.
  • Visualizes traffic patterns and classifier decision boundaries.
  • Supports parallel execution of multiple classifiers.

Requirements

  • Python 3.7 or higher
  • Required Libraries (install using requirements.txt):
    • numpy
    • pandas
    • matplotlib
    • scikit-learn

Setup and Usage

  1. Clone the repository: ```bash git clone https://github.com/vinaygummadi/Network-Analysis-and-IDS-project cd Network-Analysis-and-IDS-project

Project Reference : https://github.com/N-Kishore-Kumar/Intrusion-Detection-System-using-ML-Algorithms

Owner

  • Login: vinaygummadi
  • Kind: user

Citation (Citations) 

This project was developed on the reference of Intrusion-Detection-System-using-ML-Algorithms by N-Kishore-Kumar(https://github.com/N-Kishore-Kumar)
Project Reference : https://github.com/N-Kishore-Kumar/Intrusion-Detection-System-using-ML-Algorithms

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Dependencies

requirements.txt pypi
  • RequiredLibraries *