Improving the Efficiency of Machine Learning Based Intrusion Detection Systems on an Imbalanced and Up-to-Date Dataset Using Python
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.
Project ID: 0483
Sub domains: Machine Learning
Domain: Python
Project Year: 2023
Keywords: Intrusion Detection Machine Learning Imbalanced Dataset Cybersecurity IDS Performance Python.
Project Cost : ₹6500
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