Abstract
In this review article, the distributed denial of service (DDoS) assaults are the main topic since they offer a substantial danger to systems linked to the internet and can cause large losses in terms of money, bandwidth and downtime. In this review paper discuss the detection approaches, which are used in traditional methods for identifying and mitigating these assaults, have a limited capacity to identify fresh and changing attack patterns. In this review paper, we provide a deep learning-based DDoS assault detection method. Also discuss the different methods presented by different researchers in the last decade for detection of DoS attack in network.
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