An adaptive attributes statistic system must deal with different network and incoming traffic conditions. The following selection system comprehensively analyzes THR, Gradient Boosting, and Meta Classifier protocol-based DDoS attacks and their effects on the cloud network. The adaptive attributes selection system shows how the incoming traffic dataset pre-process subsystems and transfers the information to attribute extraction and data normalization. As the detection and prevention subsystem flowchart illustrates, Network Layer handles the Network connection by providing data routing paths for network communication. Attacks on layer three try to exhaust the network resources of the target to saturate the connections or its ability to handle any new connections.