Distributed Denial of-Service (DDoS)Attack Detection in SDN-based Cloud, M.Sc. Thesis Sharif University of Technology ; Jalili, Rasool (Supervisor)
Abstract
SDN-based cloud is created by new thechnologies. This infrastructure is more programmable, manageable and configurable. However SDN-based cloud is vulnerable to the DDoS attacks. A lot of researches has been accomplished to prevent these kind of attacks. Solutions that proposed in these papers are based on machine learning, statistical analysis of traffic or combination of these approaches. In this research an efficient method has been introduced, for detecting DDOS attack in SDN-based cloud environment. Detection system is based on extreme learning machine (ELM). ELMs has been pruned with genetic algorithm (GAP-ELM). Detection of attack in the proposed system, has been accomplished with...
Cataloging briefDistributed Denial of-Service (DDoS)Attack Detection in SDN-based Cloud, M.Sc. Thesis Sharif University of Technology ; Jalili, Rasool (Supervisor)
Abstract
SDN-based cloud is created by new thechnologies. This infrastructure is more programmable, manageable and configurable. However SDN-based cloud is vulnerable to the DDoS attacks. A lot of researches has been accomplished to prevent these kind of attacks. Solutions that proposed in these papers are based on machine learning, statistical analysis of traffic or combination of these approaches. In this research an efficient method has been introduced, for detecting DDOS attack in SDN-based cloud environment. Detection system is based on extreme learning machine (ELM). ELMs has been pruned with genetic algorithm (GAP-ELM). Detection of attack in the proposed system, has been accomplished with...
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