DDoS-Detection and DDoS-Detection-ML

DDoS-Detection

Emerging

DDoS-Detection-ML

Experimental

Maintenance 0/25

Adoption 6/25

Maturity 8/25

Community 16/25

Maintenance 0/25

Adoption 1/25

Maturity 11/25

Community 12/25

Stars: 15

Forks: 7

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: —

Stars: 1

Forks: 1

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

No License Stale 6m No Package No Dependents

Stale 6m No Package No Dependents

About DDoS-Detection

AnshumanMohanty-2001/DDoS-Detection

Detailed Comparative analysis of DDoS detection using Machine Learning Models

This project helps network security professionals and system administrators identify Distributed Denial of Service (DDoS) attacks. It takes network traffic data (like packet information) and uses various machine learning techniques to determine if an attack is underway. The output is a classification indicating whether the network activity is normal or part of a DDoS attack.

network-security cybersecurity intrusion-detection network-monitoring threat-analysis

About DDoS-Detection-ML

FaizanZaheerGit/DDoS-Detection-ML

Various supervised machine learning techniques on the highly optimized NSL-KDD dataset to create an efficient and accurate predictor of possible intrusions on a network.

Related comparisons

DDoS-Detection and DDos-Detection-using-ML DDoS-Detection and DetectingDDosAttacks DDoS-Detection and Machine-Learning-Based-Detection-of-Distributed-Denial-of-Service-DDoS-Attacks DDoS-Detection and DDoS-Detection

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