Python
cybersecurity
2023
ID: 1CP0698
Intrusion Detection System Utilizing Machine Learning in Python
Keywords:
Intrusion
Detection
System,
Machine
Learning,
Random
Forest,
Network
Security,
Imbalanced
Dataset,
Flask
Framework,
Attack
Classification,
Python
Project Synopsis & Overview
This project develops a machine learning-based intrusion detection system in Python that classifies network traffic as normal or attack, including DoS, probe, R2L, and U2R types. Data is preprocessed, balanced, and used to train Random Forest and linear models, evaluated with accuracy, precision, and recall. A Flask web dashboard visualizes real-time monitoring, helping administrators reduce false positives and respond quickly.
Complete Technical Specifications
| Project ID | 1CP0698 (DB ID: 698) |
| Project Title | Intrusion Detection System Utilizing Machine Learning in Python |
| Domain Division | Python |
| Sub-Domain / Tech | cybersecurity |
| IEEE Year | 2023 |
| Package Price | ₹6500 |
| Created Date | Nov 12, 2026 |
Project Price
₹6500
₹8000
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