DDoS-Detection and DDoS-Detection-ML
Maintenance
0/25
Adoption
7/25
Maturity
8/25
Community
17/25
Maintenance
0/25
Adoption
1/25
Maturity
11/25
Community
12/25
Stars: 31
Forks: 9
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stars: 1
Forks: 1
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
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Stale 6m
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About DDoS-Detection
ReubenJoe/DDoS-Detection
Detailed Comparative analysis of DDoS detection using Machine Learning Models
This project helps network security teams and operations engineers identify Distributed Denial of Service (DDoS) attacks. It takes network traffic data as input and uses various machine learning models to classify whether the traffic is normal or part of a DDoS attack. The output helps security professionals quickly detect and respond to these critical threats.
network-security
DDoS-detection
cybersecurity
threat-detection
network-operations
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.
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