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Python cybersecurity 2023 ID: 1CP0699

Network Intrusion Detection Using Flask And Machine Learning

Keywords: Network Intrusion Detection, Machine Learning, NSL-KDD Dataset, Random Forest, XGBoost, PCA, Flask Framework, Attack Classification

Project Synopsis & Overview

This project develops a network intrusion detection system using machine learning and a Flask web interface in Python. The NSL-KDD dataset is collected, preprocessed, and analyzed, then PCA reduces features and algorithms such as Random Forest, SVM, KNN, Naive Bayes, and XGBoost classify traffic as normal or malicious, achieving accurate detection with fewer false alarms to strengthen overall network security.

Complete Technical Specifications

Project ID 1CP0699 (DB ID: 699)
Project Title Network Intrusion Detection Using Flask And Machine Learning
Domain Division Python
Sub-Domain / Tech cybersecurity
IEEE Year 2023
Package Price ₹6500
Created Date Nov 12, 2026
Project Price
₹6500 ₹8000 20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
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