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About Cyber Attack Detection Thanks To Machine Learning Algorithms
This document discusses using machine learning algorithms to detect cyber attacks by analyzing network flow data. It first reviews related concepts like NetFlow for collecting traffic flow data and using machine learning for botnet detection. It then describes extracting 22 features from NetFlow datasets and using feature selection methods to identify the most important features. Finally, it evaluates five machine learning algorithms on NetFlow datasets containing common botnets, finding that the Random Forest Classifier detects over 95% of botnets in most scenarios.
Detailed Information
| Author: | ['fjbvneto'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 46 |
| Language: | English |
| Format: | |
| Price: | FREE |
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