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Examining the Impact of Traffic Sampling on Network Intrusion Detection Methods Based on Machine Learning Utilizing Python

This study examines how different traffic sampling techniques affect the performance of machine learning-based network intrusion detection systems using Python. It aims to optimize detection accuracy while managing data volume for efficient cybersecurity monitoring.

Project ID: 0462

Sub domains: Machine Learning

Domain: Python

Project Year: 2023

Keywords: network intrusion detection traffic sampling machine learning Python cybersecurity anomaly detection data preprocessing network security

Project Cost : ₹6500


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