Comparative Analysis between the k-means and Fuzzy c-means Algorithms to Detect UDP Flood DDoS Attack on a SDN/NFV Environment. DOI: 10.5220 ...
DDoS Attacks. Conference Paper. Comparative Analysis between the k-means and Fuzzy c-means Algorithms to Detect UDP Flood DDoS Attack on a SDN/NFV Environment.
A study and an analysis of two unsupervised machine learning algorithms used to detect DDoS attacks in an SDN/NFV simulated environment and the k-means ...
Comparative Analysis between the k-means and Fuzzy c-means Algorithms to Detect UDP Flood DDoS Attack on a SDN/NFV Environment.
In this research work two important clustering algorithms namely centroid based K-Means and representative object based FCM (Fuzzy C-Means) clustering ...
Missing: Detect UDP Flood DDoS Attack SDN/ NFV Environment.
People also ask
What is the best detection approach when dealing with DDoS?
How are different DDoS attacks detected using machine learning classification algorithms?
What is UDP flood attack filtering?
How is a UDP flood attack mitigated?
Comparative Analysis between the k-means and Fuzzy c-means Algorithms to Detect UDP Flood DDoS Attack on a SDN/NFV Environment. Speaker: João Ribeiro de ...
Comparative Analysis between the k-means and Fuzzy c-means Algorithms to Detect UDP Flood DDoS Attack on a SDN/NFV Environment ... detect DDoS attacks in ...
Mar 15, 2024 · ABSTRACT Software Defined network (SDN), as a new network architecture, is the direction of future network development.
Missing: Comparative | Show results with:Comparative
We conducted a literature review on popular DDoS attack detection and mitigation technologies in SDN and categorized and evaluated them according to the ...
ML-DL algorithms utilized in IDS—are developed. Using these two taxonomies summary and comparison. of existing IDS solutions in SDN are also presented ...