Python
BigData
IEEE 2025
ID: 1CP0483
Improving the Efficiency of Machine Learning Based Intrusion Detection Systems on an Imbalanced and Up-to-Date Dataset Using Python
Keywords:
Intrusion
Detection,
Machine
Learning,
Imbalanced
Dataset,
Cybersecurity,
IDS
Performance,
Python.
Project Synopsis & Overview
This project aims to improve the performance of machine learning-based Intrusion Detection Systems (IDS) by addressing data imbalance and using updated datasets. Techniques like resampling and advanced algorithms are applied for better threat detection.
Complete Technical Specifications
| Project ID | 1CP0483 (DB ID: 483) |
| Project Title | Improving the Efficiency of Machine Learning Based Intrusion Detection Systems on an Imbalanced and Up-to-Date Dataset Using Python |
| Domain Division | Python |
| Sub-Domain / Tech | BigData |
| IEEE Year | IEEE 2025 |
| Package Price | ₹6500 |
| Created Date | Aug 22, 2026 |
Project Price
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