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A Novel Analysis of Network Traffic in Distributed Denial of Service (DDoS) Attack to Improve Accuracy Using Extreme Learning Machine Algorithm over Regression Algorithm
The research work aims to analyze novel optimized network traffic using Distributed Denial of Service attack dataset and get accuracy using Regression Algorithm (RA) and compare it with Extreme Learning Machine Algorithm (ELM). Considering two groups as Regression Algorithm and Extreme Learning Machine Algorithm. For each framework take N=10 from the dataset to perform both iterations on each framework value. sample size is calculated using Gpower software. ccuracy of network traffic DDoS attack dataset using Regression algorithm is 84.6% and Extreme Learning Machine algorithm is 90.7% with significance value of 0.03 (p<0.05). Based on analysis, the Extreme Learning Machine algorithm provides better accuracy over the Regression Algorithm.
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