A DDOS PREVENTION SYSTEM DESIGNED USING MACHINE LEARNING FOR CLOUD COMPUTING ENVIRONMENT

The cloud computing is the new emerging solution for the IT industry to grow their business with the resources available on the pay as you go policy but what if the server goes down due to the cyber attacks it is a huge loss for the enterprise as each minute is valuable and also if the data is lost or misused then the consequences because of that is a major concern for the cloud service provider, Hence in this paper we proposed a design which when implemented on the real world will be able to solve the DDos attack in cloud environment as per the design we have trained the three machine learning classification models such as random forest, support vector machine and third one logistic regression which are trained on the real world dataset named CICDDoS2019 from the Canadian institute for cyber security so that based on the traffic rate the proposed algorithm will select the best classifier from the three to prevent the attack