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 ...

Deep learning techniques present an innovative solution against the growing menace of DoS and DDoS attacks, offering promising capabilities in identifying complex patterns within large datasets for ...

This technique uses deep learning to extract IP packet attributes, builds an LSTM traffic prediction model, and then recognises DDoS attacks using the built-in LSTM model.

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

Google has rolled out a public preview of a new protection service powered by machine learning (ML) to help businesses shield their Google Cloud applications and services from DDoS attacks.