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Implementation of the Decision Tree Method for Detecting Attacks in Networks

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Decision tree models classify DDoS attacks in networks, suggesting enhanced network security measures.

The decision tree method improves detection accuracy of cyber attacks, enhancing overall network security.
Findings indicate that the model achieves high accuracy levels in classifying DDoS attacks effectively.
Analysis uses the CICIDS 2017 dataset to develop and evaluate the decision tree-based detection model.
This approach highlights the importance of early detection to mitigate the impact of cybercrime on networks.

Sitanggang et al. (2025) studied this question.

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View Full Paper

Ask AI

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Authors

Decision tree models classify DDoS attacks in networks, suggesting enhanced network security measures.

The decision tree method improves detection accuracy of cyber attacks, enhancing overall network security.
Findings indicate that the model achieves high accuracy levels in classifying DDoS attacks effectively.
Analysis uses the CICIDS 2017 dataset to develop and evaluate the decision tree-based detection model.
This approach highlights the importance of early detection to mitigate the impact of cybercrime on networks.

Sitanggang et al. (2025) studied this question.

View Full Paper

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Bookmark