Distributed denial of service (DDoS) attacks remain challenging to mitigate in existing systems, including in-home networks that comprise different Internet of Things (IoT) devices.Even though advanced Machine Learning (ML) and deep learning techniques have been adopted for DDoS detection, the attack remains a major threat of the Internet. The Main aim of this project is identifying or detecting the attacks which in occurred in the network by using the various classification algorithms. Now growth of social network will get increased in every day to day basis. However, it is a challenging issue to detect the attacks. In our process, the system is developed five different machine and deep learning algorithms for detecting the ddos attack.
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