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IMPLEMENTATION OF DDOS ATTACKS USING K-MEANS CLUSTERING BASED ON SEMISUPERVISED ALGORITHMS
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.11, No. 9)Publication Date: 2022-09-30
Authors : D.J. Samatha Naidu; S. Vijay Kumar;
Page : 29-33
Keywords : Black box testing; Unit testing; Data Flow Diagrams; Semi supervised; k-means algorithm;
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Find it from : Google Scholar
Abstract
Distributed denial of service (DDoS) attack is an attempt to make an online service unavailable by overwhelming it with traffic from multiple sources. Presents a semi-supervised weighted k-means detection method. Hybrid feature selection algorithm to find the most effective feature sets and propose an improved density-based initial cluster centers selection algorithm to solve the problem of outliers and local optimal.
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Last modified: 2022-09-18 00:51:24