Abstract
Distributed Denial of Service (DDoS) attacks in the cloud environment are not as simple as the same attacks which occur in the traditional physical network environment. Not only one single attack is affecting the cloud environment, where as there are multiple sources to affect the environment. DDoS attacks can be detected using the existing machine learning techniques such as neural classifiers. This paper discusses on the survey carried out on DDoS attacks in the cloud environment. Using Machine learning techniques results to detection of higher false positive rates. Some of the widely used methods are ANN, SVM, kNN, J48, Feature rank and Feature selection methods to detect DDoS attacks in the cloud environment. This paper reviews various studies related to detection of network attacks in network and cloud environments.
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