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About Anomaly Based Intrusion Detection Model Using Supervised Machine Learning Techniques
The document discusses using supervised machine learning techniques like J48, Random Forest, Random Tree, Hoeffding Tree and Logistic Model to build an anomaly based intrusion detection model. It analyzes the accuracy of these techniques on different data splits and suggests the best performing algorithm for future predictions.
Detailed Information
| Author: | ['eshensanjula2002'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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