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About A Survey On Effective Machine Learning Algorithm For Intrusion Detection System
This document summarizes a survey on effective machine learning algorithms for intrusion detection systems. It discusses intrusion detection systems and how they use signatures and anomaly detection techniques. It also discusses various machine learning algorithms that can be used for intrusion detection, including artificial neural networks, support vector machines, random forests, naive Bayes, and deep learning. Recent studies have shown success in using these algorithms as classifiers to differentiate anomalies from normal traffic and detect intrusions.
Detailed Information
| Author: | ['Arthee Pandi'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 4 |
| Language: | English |
| Format: | |
| Price: | FREE |
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