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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