Detection of Distributed Denial-of-Service (DDoS) attacks using a deep learning model. Utilization of the Long Short-Term Memory (LSTM) neural network architecture for feature selection and extraction ...

In this study, present a comprehensive analysis of detecting Distributed Denial of Service (DDoS) attacks using advanced deep learning models, including a Deep Neural Network (DNN), Convolutional ...

When using deep learning for DDoS attack detection, there is a general degradation in detection performance due to small sample size. This paper proposes a smal ...

Researchers combined entropy-based detection with machine learning clustering to effectively identify and mitigate DDoS attacks in software-defined networks. The approach demonstrated superior ...

Botnet-Attack-Detection-using-Deep-Learning-in-IoT Abstract— Botnet assaults on Internet of Things (IoT) devices are extremely harmful, yet deep learning (DL) detection requires a lot of memory and ...