D. K.

Deep Learning–Based Real-Time Detection of Distributed Denial-of-Service Attacks in Network Traffic

A deep learning-based real-time detection framework of DDoS attacks in network traffic that combines both Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks in order to identify discriminative spatial characteristics of traffic patterns and sequence dependencies in the flow of packets.