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Machine learning-based ddos defence solutions in sdn.Machine learning algorithms are used to solve complex problems in many fields.These algorithms are also applied for detection of ddos attacks, and it has been found that they are better than signature-based detection techniques.These ml-based classifiers can be trained to.

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    The theoretical description of how machine learning performance scales with training data can guide designers in these trade-offs as well as having implications for prototyping.We exemplify the learning curves usage by arguing that a useful pattern is to design.